prediction_half_time_other_models.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5b6f0881",
   "metadata": {},
   "outputs": [],
   "source": [
    "#general package\n",
    "import warnings\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder, OneHotEncoder, StandardScaler\n",
    "from sklearn.model_selection import cross_val_score, KFold\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.feature_selection import RFECV\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "import statsmodels.api as sm\n",
    "from itertools import chain, combinations\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "from sklearn.metrics import confusion_matrix, precision_score, recall_score, f1_score, accuracy_score\n",
    "from sklearn.metrics import classification_report\n",
    "\n",
    "import random\n",
    "# import tensorflow as tf "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec0196b5",
   "metadata": {},
   "source": [
    "## Clearing out the Prediction Set"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "884e1bcd",
   "metadata": {},
   "source": [
    "### Prediction set in a half-time model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2735f2b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#2021 & 2022 season dataset (double dataframe)\n",
    "df_historical = pd.read_csv(\"~/Desktop/dissertation_dataset/double_dataframe.csv\")\n",
    "df_historical = df_historical.drop(columns=['choose_to_field', 'forced_to_field','forced_to_bat','month','day'])\n",
    "\n",
    "# Create 'venue_city' column\n",
    "df_historical['venue_city'] = df_historical['venue'] + ' ' + df_historical['city']\n",
    "\n",
    "df_historical.drop(columns=['venue', 'city'], inplace=True)\n",
    "desired_order = [\n",
    "    'Result', 'match_number', 'team', 'opponent', \n",
    "    'gender', 'season', 'team_score', 'team_wickets', \n",
    "    'winner', 'toss_winner', 'home_advantage', \n",
    "    'venue_city', 'choose_to_bat', 'avg_score', \n",
    "    'avg_win_rate', 'avg_wickets_out', 'last_match_result'\n",
    "]\n",
    "\n",
    "df_historical = df_historical[desired_order]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "83d6b12a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_historical = df_historical.sort_values(['team', 'gender', 'season', 'match_number'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f659b6e3",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>match_number</th>\n",
       "      <th>team</th>\n",
       "      <th>opponent</th>\n",
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       "      <th>2</th>\n",
       "      <td>lose</td>\n",
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       "      <td>Birmingham Phoenix</td>\n",
       "      <td>London Spirit</td>\n",
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       "      <td>London Spirit</td>\n",
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       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>113</td>\n",
       "      <td>9</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
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       "      <td>yes</td>\n",
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       "      <td>6.000000</td>\n",
       "      <td>lose</td>\n",
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       "    <tr>\n",
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       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>140</td>\n",
       "      <td>4</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
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       "      <td>no</td>\n",
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       "      <td>lose</td>\n",
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       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>134</td>\n",
       "      <td>9</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>yes</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>127.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>6.333333</td>\n",
       "      <td>lose</td>\n",
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       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>lose</td>\n",
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       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>129</td>\n",
       "      <td>9</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>128.750000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>7.000000</td>\n",
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       "      <th>40</th>\n",
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       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>131</td>\n",
       "      <td>0</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>128.800000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>7.400000</td>\n",
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       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
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       "      <td>7</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
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       "      <td>win</td>\n",
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       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>147</td>\n",
       "      <td>4</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>no</td>\n",
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       "      <td>lose</td>\n",
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       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>94</td>\n",
       "      <td>10</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>131.375000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>win</td>\n",
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       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>win</td>\n",
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       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>female</td>\n",
       "      <td>2022</td>\n",
       "      <td>161</td>\n",
       "      <td>5</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>no</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>127.222222</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>6.444444</td>\n",
       "      <td>lose</td>\n",
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      "text/plain": [
       "    Result  match_number                team                opponent  gender  \\\n",
       "2     lose             2  Birmingham Phoenix           London Spirit  female   \n",
       "10     win             6  Birmingham Phoenix    Manchester Originals  female   \n",
       "18    lose            11  Birmingham Phoenix          Southern Brave  female   \n",
       "24    lose            14  Birmingham Phoenix           Trent Rockets  female   \n",
       "32    lose            18  Birmingham Phoenix        Oval Invincibles  female   \n",
       "40     win            23  Birmingham Phoenix              Welsh Fire  female   \n",
       "48     win            27  Birmingham Phoenix           Trent Rockets  female   \n",
       "56     win            31  Birmingham Phoenix  Northern Superchargers  female   \n",
       "60    lose            40  Birmingham Phoenix        Oval Invincibles  female   \n",
       "132    win             4  Birmingham Phoenix              Welsh Fire  female   \n",
       "\n",
       "     season  team_score  team_wickets              winner  \\\n",
       "2      2021         128             6       London Spirit   \n",
       "10     2021         113             9  Birmingham Phoenix   \n",
       "18     2021         140             4      Southern Brave   \n",
       "24     2021         134             9       Trent Rockets   \n",
       "32     2021         129             9    Oval Invincibles   \n",
       "40     2021         131             0  Birmingham Phoenix   \n",
       "48     2021         129             7  Birmingham Phoenix   \n",
       "56     2021         147             4  Birmingham Phoenix   \n",
       "60     2021          94            10    Oval Invincibles   \n",
       "132    2022         161             5  Birmingham Phoenix   \n",
       "\n",
       "                toss_winner home_advantage  \\\n",
       "2             London Spirit            yes   \n",
       "10       Birmingham Phoenix             no   \n",
       "18           Southern Brave             no   \n",
       "24            Trent Rockets            yes   \n",
       "32       Birmingham Phoenix            yes   \n",
       "40       Birmingham Phoenix            yes   \n",
       "48       Birmingham Phoenix             no   \n",
       "56   Northern Superchargers             no   \n",
       "60       Birmingham Phoenix             no   \n",
       "132              Welsh Fire             no   \n",
       "\n",
       "                                 venue_city choose_to_bat   avg_score  \\\n",
       "2          Edgbaston, Birmingham Birmingham            no         NaN   \n",
       "10      Old Trafford, Manchester Manchester           yes  128.000000   \n",
       "18   The Rose Bowl, Southampton Southampton            no  120.500000   \n",
       "24         Edgbaston, Birmingham Birmingham            no  127.000000   \n",
       "32         Edgbaston, Birmingham Birmingham           yes  128.750000   \n",
       "40         Edgbaston, Birmingham Birmingham            no  128.800000   \n",
       "48      Trent Bridge, Nottingham Nottingham            no  129.166667   \n",
       "56                  Headingley, Leeds Leeds            no  129.142857   \n",
       "60           Kennington Oval, London London            no  131.375000   \n",
       "132         Sophia Gardens, Cardiff Cardiff            no  127.222222   \n",
       "\n",
       "     avg_win_rate  avg_wickets_out last_match_result  \n",
       "2             NaN              NaN               NaN  \n",
       "10       0.000000         6.000000              lose  \n",
       "18       0.500000         7.500000               win  \n",
       "24       0.333333         6.333333              lose  \n",
       "32       0.250000         7.000000              lose  \n",
       "40       0.200000         7.400000              lose  \n",
       "48       0.333333         6.166667               win  \n",
       "56       0.428571         6.285714               win  \n",
       "60       0.500000         6.000000               win  \n",
       "132      0.444444         6.444444              lose  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_historical.head(10)"
   ]
  },
  {
   "cell_type": "code",
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       "      <td>Northern Superchargers</td>\n",
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       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>112</td>\n",
       "      <td>3</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>lose</td>\n",
       "      <td>32</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>field</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>108</td>\n",
       "      <td>0</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>no</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>lose</td>\n",
       "      <td>40</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>bat</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>196</td>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>win</td>\n",
       "      <td>40</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>field</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>201</td>\n",
       "      <td>3</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>win</td>\n",
       "      <td>50</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>bat</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>161</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>lose</td>\n",
       "      <td>50</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>field</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>147</td>\n",
       "      <td>6</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>116 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Result  match_number                    team                opponent  \\\n",
       "0      win             1          Southern Brave           Trent Rockets   \n",
       "1     lose             1           Trent Rockets          Southern Brave   \n",
       "2     lose             4      Birmingham Phoenix  Northern Superchargers   \n",
       "3      win             4  Northern Superchargers      Birmingham Phoenix   \n",
       "4      win             5              Welsh Fire          Southern Brave   \n",
       "..     ...           ...                     ...                     ...   \n",
       "111   lose            32           London Spirit      Birmingham Phoenix   \n",
       "112   lose            40          Southern Brave    Manchester Originals   \n",
       "113    win            40    Manchester Originals          Southern Brave   \n",
       "114    win            50        Oval Invincibles    Manchester Originals   \n",
       "115   lose            50    Manchester Originals        Oval Invincibles   \n",
       "\n",
       "    toss_decision  gender  season  team_score  team_wickets  \\\n",
       "0             bat  female    2023         157             6   \n",
       "1           field  female    2023         130             7   \n",
       "2             bat  female    2023         110             8   \n",
       "3           field  female    2023         112             3   \n",
       "4             bat  female    2023         165             3   \n",
       "..            ...     ...     ...         ...           ...   \n",
       "111         field    male    2023         108             0   \n",
       "112           bat    male    2023         196             1   \n",
       "113         field    male    2023         201             3   \n",
       "114           bat    male    2023         161             5   \n",
       "115         field    male    2023         147             6   \n",
       "\n",
       "                     winner             toss_winner home_advantage  \\\n",
       "0            Southern Brave           Trent Rockets             no   \n",
       "1            Southern Brave           Trent Rockets            yes   \n",
       "2    Northern Superchargers  Northern Superchargers             no   \n",
       "3    Northern Superchargers  Northern Superchargers            yes   \n",
       "4                Welsh Fire          Southern Brave             no   \n",
       "..                      ...                     ...            ...   \n",
       "111      Birmingham Phoenix           London Spirit             no   \n",
       "112    Manchester Originals    Manchester Originals             no   \n",
       "113    Manchester Originals    Manchester Originals             no   \n",
       "114        Oval Invincibles    Manchester Originals             no   \n",
       "115        Oval Invincibles    Manchester Originals             no   \n",
       "\n",
       "                                 venue_city choose_to_bat  avg_score  \\\n",
       "0       Trent Bridge, Nottingham Nottingham            no        NaN   \n",
       "1       Trent Bridge, Nottingham Nottingham           yes        NaN   \n",
       "2                   Headingley, Leeds Leeds            no        NaN   \n",
       "3                   Headingley, Leeds Leeds           yes        NaN   \n",
       "4    The Rose Bowl, Southampton Southampton            no        NaN   \n",
       "..                                      ...           ...        ...   \n",
       "111        Edgbaston, Birmingham Birmingham           yes        NaN   \n",
       "112          Kennington Oval, London London           yes        NaN   \n",
       "113          Kennington Oval, London London            no        NaN   \n",
       "114                   Lord's, London London           yes        NaN   \n",
       "115                   Lord's, London London            no        NaN   \n",
       "\n",
       "     avg_win_rate  avg_wickets_out  last_match_result  \n",
       "0             NaN              NaN                NaN  \n",
       "1             NaN              NaN                NaN  \n",
       "2             NaN              NaN                NaN  \n",
       "3             NaN              NaN                NaN  \n",
       "4             NaN              NaN                NaN  \n",
       "..            ...              ...                ...  \n",
       "111           NaN              NaN                NaN  \n",
       "112           NaN              NaN                NaN  \n",
       "113           NaN              NaN                NaN  \n",
       "114           NaN              NaN                NaN  \n",
       "115           NaN              NaN                NaN  \n",
       "\n",
       "[116 rows x 18 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#2023 season dataset (double dataframe)\n",
    "df_2023 = pd.read_csv('~/Desktop/dissertation_dataset/halftime_2023.csv')\n",
    "df_2023"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "35bdc7e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1v/gbft9lh97dggng6ytnnwkd9c0000gn/T/ipykernel_5253/565489794.py:8: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.\n",
      "To preserve the previous behavior, use\n",
      "\n",
      "\t>>> .groupby(..., group_keys=False)\n",
      "\n",
      "To adopt the future behavior and silence this warning, use \n",
      "\n",
      "\t>>> .groupby(..., group_keys=True)\n",
      "  df_concat['avg_win_rate'] = df_concat.groupby(['team', 'gender'])['Result_num'].apply(lambda x: x.shift().expanding().mean())\n",
      "/var/folders/1v/gbft9lh97dggng6ytnnwkd9c0000gn/T/ipykernel_5253/565489794.py:9: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.\n",
      "To preserve the previous behavior, use\n",
      "\n",
      "\t>>> .groupby(..., group_keys=False)\n",
      "\n",
      "To adopt the future behavior and silence this warning, use \n",
      "\n",
      "\t>>> .groupby(..., group_keys=True)\n",
      "  df_concat['avg_score'] = df_concat.groupby(['team', 'gender'])['team_score'].apply(lambda x: x.shift().expanding().mean())\n",
      "/var/folders/1v/gbft9lh97dggng6ytnnwkd9c0000gn/T/ipykernel_5253/565489794.py:10: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.\n",
      "To preserve the previous behavior, use\n",
      "\n",
      "\t>>> .groupby(..., group_keys=False)\n",
      "\n",
      "To adopt the future behavior and silence this warning, use \n",
      "\n",
      "\t>>> .groupby(..., group_keys=True)\n",
      "  df_concat['avg_wickets_out'] = df_concat.groupby(['team', 'gender'])['team_wickets'].apply(lambda x: x.shift().expanding().mean())\n"
     ]
    }
   ],
   "source": [
    "# Concatenate the historical and 2023 data frames\n",
    "df_concat = pd.concat([df_historical, df_2023], ignore_index=True)\n",
    "df_concat = df_concat.sort_values(['team', 'gender', 'season', 'match_number'])\n",
    "\n",
    "# Calculate the four variables for the concatenated data frame\n",
    "df_concat['Result_num'] = df_concat['Result'].map({'win': 1, 'lose': 0})\n",
    "\n",
    "df_concat['avg_win_rate'] = df_concat.groupby(['team', 'gender'])['Result_num'].apply(lambda x: x.shift().expanding().mean())\n",
    "df_concat['avg_score'] = df_concat.groupby(['team', 'gender'])['team_score'].apply(lambda x: x.shift().expanding().mean())\n",
    "df_concat['avg_wickets_out'] = df_concat.groupby(['team', 'gender'])['team_wickets'].apply(lambda x: x.shift().expanding().mean())\n",
    "\n",
    "df_concat['last_match_result'] = df_concat.groupby(['team', 'gender'])['Result'].shift()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9ddd6aa3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_concat.drop(['Result_num'], axis=1, inplace=True)\n",
    "df_2023_updated = df_concat[df_concat['season'] == 2023]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0c00004a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>match_number</th>\n",
       "      <th>team</th>\n",
       "      <th>opponent</th>\n",
       "      <th>gender</th>\n",
       "      <th>season</th>\n",
       "      <th>team_score</th>\n",
       "      <th>team_wickets</th>\n",
       "      <th>winner</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>home_advantage</th>\n",
       "      <th>venue_city</th>\n",
       "      <th>choose_to_bat</th>\n",
       "      <th>avg_score</th>\n",
       "      <th>avg_win_rate</th>\n",
       "      <th>avg_wickets_out</th>\n",
       "      <th>last_match_result</th>\n",
       "      <th>toss_decision</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>win</td>\n",
       "      <td>1</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>157</td>\n",
       "      <td>6</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>121.941176</td>\n",
       "      <td>0.764706</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>lose</td>\n",
       "      <td>bat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>lose</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>161</td>\n",
       "      <td>4</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>123.888889</td>\n",
       "      <td>0.777778</td>\n",
       "      <td>5.055556</td>\n",
       "      <td>win</td>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>win</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>102</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>125.842105</td>\n",
       "      <td>0.736842</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>lose</td>\n",
       "      <td>field</td>\n",
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       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>win</td>\n",
       "      <td>11</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>108</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>124.650000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>win</td>\n",
       "      <td>field</td>\n",
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       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>win</td>\n",
       "      <td>17</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>145</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>yes</td>\n",
       "      <td>123.857143</td>\n",
       "      <td>0.761905</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>win</td>\n",
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       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>win</td>\n",
       "      <td>22</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>132</td>\n",
       "      <td>4</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>124.818182</td>\n",
       "      <td>0.772727</td>\n",
       "      <td>5.136364</td>\n",
       "      <td>win</td>\n",
       "      <td>bat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>win</td>\n",
       "      <td>26</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>132</td>\n",
       "      <td>3</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>125.130435</td>\n",
       "      <td>0.782609</td>\n",
       "      <td>5.086957</td>\n",
       "      <td>win</td>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>win</td>\n",
       "      <td>31</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>121</td>\n",
       "      <td>2</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>yes</td>\n",
       "      <td>125.416667</td>\n",
       "      <td>0.791667</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>win</td>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>win</td>\n",
       "      <td>50</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>139</td>\n",
       "      <td>6</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>125.240000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>4.880000</td>\n",
       "      <td>win</td>\n",
       "      <td>bat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>lose</td>\n",
       "      <td>1</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>127</td>\n",
       "      <td>0</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>133.411765</td>\n",
       "      <td>0.588235</td>\n",
       "      <td>5.529412</td>\n",
       "      <td>lose</td>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>win</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>147</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>133.055556</td>\n",
       "      <td>0.555556</td>\n",
       "      <td>5.222222</td>\n",
       "      <td>lose</td>\n",
       "      <td>bat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>lose</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>141</td>\n",
       "      <td>5</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>133.789474</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>5.368421</td>\n",
       "      <td>win</td>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>win</td>\n",
       "      <td>17</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>91</td>\n",
       "      <td>1</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>yes</td>\n",
       "      <td>134.150000</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>5.350000</td>\n",
       "      <td>lose</td>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>win</td>\n",
       "      <td>22</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>120</td>\n",
       "      <td>6</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>132.095238</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>5.142857</td>\n",
       "      <td>win</td>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>lose</td>\n",
       "      <td>26</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>131</td>\n",
       "      <td>7</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>131.545455</td>\n",
       "      <td>0.590909</td>\n",
       "      <td>5.181818</td>\n",
       "      <td>win</td>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>win</td>\n",
       "      <td>31</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>134</td>\n",
       "      <td>4</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>yes</td>\n",
       "      <td>131.521739</td>\n",
       "      <td>0.565217</td>\n",
       "      <td>5.260870</td>\n",
       "      <td>lose</td>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>lose</td>\n",
       "      <td>40</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>196</td>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>131.625000</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>5.208333</td>\n",
       "      <td>win</td>\n",
       "      <td>bat</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Result  match_number            team                opponent  gender  \\\n",
       "246    win             1  Southern Brave           Trent Rockets  female   \n",
       "251   lose             5  Southern Brave              Welsh Fire  female   \n",
       "252    win             8  Southern Brave  Northern Superchargers  female   \n",
       "259    win            11  Southern Brave           London Spirit  female   \n",
       "271    win            17  Southern Brave              Welsh Fire  female   \n",
       "280    win            22  Southern Brave      Birmingham Phoenix  female   \n",
       "289    win            26  Southern Brave        Oval Invincibles  female   \n",
       "299    win            31  Southern Brave    Manchester Originals  female   \n",
       "302    win            50  Southern Brave  Northern Superchargers  female   \n",
       "305   lose             1  Southern Brave           Trent Rockets    male   \n",
       "310    win             5  Southern Brave              Welsh Fire    male   \n",
       "313   lose             8  Southern Brave  Northern Superchargers    male   \n",
       "327    win            17  Southern Brave              Welsh Fire    male   \n",
       "337    win            22  Southern Brave      Birmingham Phoenix    male   \n",
       "345   lose            26  Southern Brave        Oval Invincibles    male   \n",
       "355    win            31  Southern Brave    Manchester Originals    male   \n",
       "358   lose            40  Southern Brave    Manchester Originals    male   \n",
       "\n",
       "     season  team_score  team_wickets                  winner  \\\n",
       "246    2023         157             6          Southern Brave   \n",
       "251    2023         161             4              Welsh Fire   \n",
       "252    2023         102             5          Southern Brave   \n",
       "259    2023         108             5          Southern Brave   \n",
       "271    2023         145             8          Southern Brave   \n",
       "280    2023         132             4          Southern Brave   \n",
       "289    2023         132             3          Southern Brave   \n",
       "299    2023         121             2          Southern Brave   \n",
       "302    2023         139             6          Southern Brave   \n",
       "305    2023         127             0           Trent Rockets   \n",
       "310    2023         147             8          Southern Brave   \n",
       "313    2023         141             5  Northern Superchargers   \n",
       "327    2023          91             1          Southern Brave   \n",
       "337    2023         120             6          Southern Brave   \n",
       "345    2023         131             7        Oval Invincibles   \n",
       "355    2023         134             4          Southern Brave   \n",
       "358    2023         196             1    Manchester Originals   \n",
       "\n",
       "                toss_winner home_advantage  \\\n",
       "246           Trent Rockets             no   \n",
       "251          Southern Brave            yes   \n",
       "252          Southern Brave            yes   \n",
       "259          Southern Brave             no   \n",
       "271          Southern Brave             no   \n",
       "280          Southern Brave            yes   \n",
       "289        Oval Invincibles            yes   \n",
       "299          Southern Brave             no   \n",
       "302  Northern Superchargers             no   \n",
       "305          Southern Brave             no   \n",
       "310              Welsh Fire            yes   \n",
       "313          Southern Brave            yes   \n",
       "327          Southern Brave             no   \n",
       "337      Birmingham Phoenix            yes   \n",
       "345        Oval Invincibles            yes   \n",
       "355          Southern Brave             no   \n",
       "358    Manchester Originals             no   \n",
       "\n",
       "                                 venue_city choose_to_bat   avg_score  \\\n",
       "246     Trent Bridge, Nottingham Nottingham            no  121.941176   \n",
       "251  The Rose Bowl, Southampton Southampton           yes  123.888889   \n",
       "252  The Rose Bowl, Southampton Southampton           yes  125.842105   \n",
       "259                   Lord's, London London           yes  124.650000   \n",
       "271         Sophia Gardens, Cardiff Cardiff           yes  123.857143   \n",
       "280  The Rose Bowl, Southampton Southampton           yes  124.818182   \n",
       "289  The Rose Bowl, Southampton Southampton            no  125.130435   \n",
       "299     Old Trafford, Manchester Manchester           yes  125.416667   \n",
       "302                   Lord's, London London           yes  125.240000   \n",
       "305     Trent Bridge, Nottingham Nottingham           yes  133.411765   \n",
       "310  The Rose Bowl, Southampton Southampton            no  133.055556   \n",
       "313  The Rose Bowl, Southampton Southampton           yes  133.789474   \n",
       "327         Sophia Gardens, Cardiff Cardiff           yes  134.150000   \n",
       "337  The Rose Bowl, Southampton Southampton            no  132.095238   \n",
       "345  The Rose Bowl, Southampton Southampton            no  131.545455   \n",
       "355     Old Trafford, Manchester Manchester           yes  131.521739   \n",
       "358          Kennington Oval, London London           yes  131.625000   \n",
       "\n",
       "     avg_win_rate  avg_wickets_out last_match_result toss_decision  \n",
       "246      0.764706         5.000000              lose           bat  \n",
       "251      0.777778         5.055556               win         field  \n",
       "252      0.736842         5.000000              lose         field  \n",
       "259      0.750000         5.000000               win         field  \n",
       "271      0.761905         5.000000               win         field  \n",
       "280      0.772727         5.136364               win           bat  \n",
       "289      0.782609         5.086957               win         field  \n",
       "299      0.791667         5.000000               win         field  \n",
       "302      0.800000         4.880000               win           bat  \n",
       "305      0.588235         5.529412              lose         field  \n",
       "310      0.555556         5.222222              lose           bat  \n",
       "313      0.578947         5.368421               win         field  \n",
       "327      0.550000         5.350000              lose         field  \n",
       "337      0.571429         5.142857               win         field  \n",
       "345      0.590909         5.181818               win         field  \n",
       "355      0.565217         5.260870              lose         field  \n",
       "358      0.583333         5.208333               win           bat  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter the records for the team 'Southern Brave' in the updated 2023 dataset to check\n",
    "df_2023_southern_brave = df_2023_updated[df_2023_updated['team'] == 'Southern Brave']\n",
    "df_2023_southern_brave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "86e89480",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_updated = df_2023_updated[df_2023_updated['toss_decision'] == \"bat\"] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8fd2f0a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_updated = df_2023_updated.drop(columns=['toss_decision'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7d5c4ea3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 58 entries, 248 to 326\n",
      "Data columns (total 17 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Result             58 non-null     object \n",
      " 1   match_number       58 non-null     int64  \n",
      " 2   team               58 non-null     object \n",
      " 3   opponent           58 non-null     object \n",
      " 4   gender             58 non-null     object \n",
      " 5   season             58 non-null     int64  \n",
      " 6   team_score         58 non-null     int64  \n",
      " 7   team_wickets       58 non-null     int64  \n",
      " 8   winner             58 non-null     object \n",
      " 9   toss_winner        58 non-null     object \n",
      " 10  home_advantage     58 non-null     object \n",
      " 11  venue_city         58 non-null     object \n",
      " 12  choose_to_bat      58 non-null     object \n",
      " 13  avg_score          58 non-null     float64\n",
      " 14  avg_win_rate       58 non-null     float64\n",
      " 15  avg_wickets_out    58 non-null     float64\n",
      " 16  last_match_result  58 non-null     object \n",
      "dtypes: float64(3), int64(4), object(10)\n",
      "memory usage: 8.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df_2023_updated.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "89275de4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_updated = df_2023_updated.sort_values([\"season\", \"gender\", \"match_number\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9637adf6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(58, 17)\n"
     ]
    }
   ],
   "source": [
    "print(df_2023_updated.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9afc19d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_updated.reset_index(drop=True).to_csv('/Users/quinne/Desktop/dissertation_dataset/prediction_set_halftime_model.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4c2b010",
   "metadata": {},
   "source": [
    "### Encoding transformations to the prediction set in the halftime model (same with the historical training set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3a8c53d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_updated = pd.read_csv('~/Desktop/dissertation_dataset/prediction_set_halftime_model.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "828eb83c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>match_number</th>\n",
       "      <th>team</th>\n",
       "      <th>opponent</th>\n",
       "      <th>gender</th>\n",
       "      <th>season</th>\n",
       "      <th>team_score</th>\n",
       "      <th>team_wickets</th>\n",
       "      <th>winner</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>home_advantage</th>\n",
       "      <th>venue_city</th>\n",
       "      <th>choose_to_bat</th>\n",
       "      <th>avg_score</th>\n",
       "      <th>avg_win_rate</th>\n",
       "      <th>avg_wickets_out</th>\n",
       "      <th>last_match_result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>win</td>\n",
       "      <td>1</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>157</td>\n",
       "      <td>6</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>121.941176</td>\n",
       "      <td>0.764706</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>lose</td>\n",
       "      <td>4</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>110</td>\n",
       "      <td>8</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>no</td>\n",
       "      <td>124.533333</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>win</td>\n",
       "      <td>5</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>165</td>\n",
       "      <td>3</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>118.857143</td>\n",
       "      <td>0.214286</td>\n",
       "      <td>6.785714</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>lose</td>\n",
       "      <td>8</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>100</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>128.428571</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>lose</td>\n",
       "      <td>9</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>118.437500</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>4.687500</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>lose</td>\n",
       "      <td>10</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>no</td>\n",
       "      <td>123.625000</td>\n",
       "      <td>0.437500</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>lose</td>\n",
       "      <td>11</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>115.714286</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>6.142857</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>win</td>\n",
       "      <td>12</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>134</td>\n",
       "      <td>4</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>126.533333</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>5.200000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>win</td>\n",
       "      <td>13</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>128</td>\n",
       "      <td>7</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>116.176471</td>\n",
       "      <td>0.705882</td>\n",
       "      <td>4.411765</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>win</td>\n",
       "      <td>14</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>137</td>\n",
       "      <td>7</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>119.375000</td>\n",
       "      <td>0.312500</td>\n",
       "      <td>6.562500</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>win</td>\n",
       "      <td>15</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>143</td>\n",
       "      <td>4</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>127.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.125000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>lose</td>\n",
       "      <td>16</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>124</td>\n",
       "      <td>4</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>114.933333</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>6.066667</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>lose</td>\n",
       "      <td>17</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>144</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>120.411765</td>\n",
       "      <td>0.352941</td>\n",
       "      <td>6.588235</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>win</td>\n",
       "      <td>18</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>133</td>\n",
       "      <td>5</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>127.941176</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>5.058824</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>win</td>\n",
       "      <td>19</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>142</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>117.473684</td>\n",
       "      <td>0.684211</td>\n",
       "      <td>4.578947</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>win</td>\n",
       "      <td>20</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>181</td>\n",
       "      <td>3</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>yes</td>\n",
       "      <td>121.722222</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>win</td>\n",
       "      <td>21</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>118</td>\n",
       "      <td>9</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>115.500000</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>5.937500</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>win</td>\n",
       "      <td>22</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>132</td>\n",
       "      <td>4</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>124.818182</td>\n",
       "      <td>0.772727</td>\n",
       "      <td>5.136364</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>lose</td>\n",
       "      <td>23</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>107</td>\n",
       "      <td>5</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>119.812500</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>5.312500</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>lose</td>\n",
       "      <td>24</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>135</td>\n",
       "      <td>7</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>115.647059</td>\n",
       "      <td>0.411765</td>\n",
       "      <td>6.117647</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>win</td>\n",
       "      <td>25</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>134</td>\n",
       "      <td>6</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>yes</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>122.157895</td>\n",
       "      <td>0.421053</td>\n",
       "      <td>5.789474</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>lose</td>\n",
       "      <td>26</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>130</td>\n",
       "      <td>6</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>117.666667</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>4.380952</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>lose</td>\n",
       "      <td>27</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>107</td>\n",
       "      <td>8</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>yes</td>\n",
       "      <td>128.631579</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>5.105263</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>win</td>\n",
       "      <td>28</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>161</td>\n",
       "      <td>4</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>124.842105</td>\n",
       "      <td>0.368421</td>\n",
       "      <td>6.315789</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>win</td>\n",
       "      <td>29</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>156</td>\n",
       "      <td>6</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>118.227273</td>\n",
       "      <td>0.636364</td>\n",
       "      <td>4.454545</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>win</td>\n",
       "      <td>30</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>144</td>\n",
       "      <td>4</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>127.550000</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>5.250000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>lose</td>\n",
       "      <td>31</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>118</td>\n",
       "      <td>4</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>no</td>\n",
       "      <td>118.444444</td>\n",
       "      <td>0.388889</td>\n",
       "      <td>5.388889</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>win</td>\n",
       "      <td>32</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>172</td>\n",
       "      <td>5</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>117.842105</td>\n",
       "      <td>0.368421</td>\n",
       "      <td>6.210526</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>win</td>\n",
       "      <td>50</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>139</td>\n",
       "      <td>6</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>125.240000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>4.880000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>win</td>\n",
       "      <td>1</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>133</td>\n",
       "      <td>8</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>141.388889</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>5.222222</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>win</td>\n",
       "      <td>2</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>94</td>\n",
       "      <td>3</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>132.937500</td>\n",
       "      <td>0.187500</td>\n",
       "      <td>6.625000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>lose</td>\n",
       "      <td>3</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>131</td>\n",
       "      <td>0</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>141.125000</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>6.562500</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>win</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>147</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>133.055556</td>\n",
       "      <td>0.555556</td>\n",
       "      <td>5.222222</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>win</td>\n",
       "      <td>8</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>201</td>\n",
       "      <td>3</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>151.533333</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>6.133333</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>win</td>\n",
       "      <td>10</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>160</td>\n",
       "      <td>8</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>no</td>\n",
       "      <td>143.352941</td>\n",
       "      <td>0.470588</td>\n",
       "      <td>6.058824</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>win</td>\n",
       "      <td>12</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>142</td>\n",
       "      <td>5</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>154.625000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.937500</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>win</td>\n",
       "      <td>13</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>186</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>144.500000</td>\n",
       "      <td>0.562500</td>\n",
       "      <td>6.062500</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>lose</td>\n",
       "      <td>14</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>112</td>\n",
       "      <td>7</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>142.500000</td>\n",
       "      <td>0.611111</td>\n",
       "      <td>5.611111</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>win</td>\n",
       "      <td>15</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>185</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>no</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>146.941176</td>\n",
       "      <td>0.588235</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>win</td>\n",
       "      <td>16</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>195</td>\n",
       "      <td>4</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>140.529412</td>\n",
       "      <td>0.352941</td>\n",
       "      <td>6.176471</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>lose</td>\n",
       "      <td>17</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>130.631579</td>\n",
       "      <td>0.263158</td>\n",
       "      <td>6.315789</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>win</td>\n",
       "      <td>18</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>182</td>\n",
       "      <td>6</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>141.526316</td>\n",
       "      <td>0.473684</td>\n",
       "      <td>5.842105</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>win</td>\n",
       "      <td>19</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>160</td>\n",
       "      <td>8</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>140.894737</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>5.684211</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>win</td>\n",
       "      <td>20</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>152</td>\n",
       "      <td>6</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>no</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>143.333333</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>5.428571</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>win</td>\n",
       "      <td>21</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>189</td>\n",
       "      <td>4</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>147.473684</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>5.631579</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>lose</td>\n",
       "      <td>22</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>119</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>141.850000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>win</td>\n",
       "      <td>23</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>181</td>\n",
       "      <td>6</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>143.550000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.850000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>win</td>\n",
       "      <td>24</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>160</td>\n",
       "      <td>6</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>145.842105</td>\n",
       "      <td>0.368421</td>\n",
       "      <td>6.105263</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>win</td>\n",
       "      <td>25</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>162</td>\n",
       "      <td>6</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>144.913043</td>\n",
       "      <td>0.608696</td>\n",
       "      <td>5.434783</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>win</td>\n",
       "      <td>26</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>139</td>\n",
       "      <td>7</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>149.550000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>5.550000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>win</td>\n",
       "      <td>27</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>164</td>\n",
       "      <td>6</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>yes</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>yes</td>\n",
       "      <td>145.333333</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>5.857143</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>lose</td>\n",
       "      <td>28</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>109</td>\n",
       "      <td>9</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>no</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>yes</td>\n",
       "      <td>146.550000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>lose</td>\n",
       "      <td>29</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>148</td>\n",
       "      <td>7</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>145.625000</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>5.458333</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>lose</td>\n",
       "      <td>30</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>158</td>\n",
       "      <td>7</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>150.619048</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>5.904762</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>lose</td>\n",
       "      <td>31</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>130</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>no</td>\n",
       "      <td>146.181818</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>5.863636</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>win</td>\n",
       "      <td>32</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>180</td>\n",
       "      <td>5</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>yes</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>139.636364</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>6.045455</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>lose</td>\n",
       "      <td>40</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>196</td>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>131.625000</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>5.208333</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>win</td>\n",
       "      <td>50</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>161</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>149.136364</td>\n",
       "      <td>0.636364</td>\n",
       "      <td>5.590909</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Result  match_number                    team                opponent  \\\n",
       "0     win             1          Southern Brave           Trent Rockets   \n",
       "1    lose             4      Birmingham Phoenix  Northern Superchargers   \n",
       "2     win             5              Welsh Fire          Southern Brave   \n",
       "3    lose             8  Northern Superchargers          Southern Brave   \n",
       "4    lose             9        Oval Invincibles              Welsh Fire   \n",
       "5    lose            10      Birmingham Phoenix    Manchester Originals   \n",
       "6    lose            11           London Spirit          Southern Brave   \n",
       "7     win            12  Northern Superchargers           Trent Rockets   \n",
       "8     win            13        Oval Invincibles    Manchester Originals   \n",
       "9     win            14              Welsh Fire      Birmingham Phoenix   \n",
       "10    win            15  Northern Superchargers        Oval Invincibles   \n",
       "11   lose            16           London Spirit           Trent Rockets   \n",
       "12   lose            17              Welsh Fire          Southern Brave   \n",
       "13    win            18  Northern Superchargers    Manchester Originals   \n",
       "14    win            19        Oval Invincibles      Birmingham Phoenix   \n",
       "15    win            20              Welsh Fire           Trent Rockets   \n",
       "16    win            21           London Spirit        Oval Invincibles   \n",
       "17    win            22          Southern Brave      Birmingham Phoenix   \n",
       "18   lose            23    Manchester Originals           Trent Rockets   \n",
       "19   lose            24           London Spirit  Northern Superchargers   \n",
       "20    win            25           Trent Rockets      Birmingham Phoenix   \n",
       "21   lose            26        Oval Invincibles          Southern Brave   \n",
       "22   lose            27  Northern Superchargers    Manchester Originals   \n",
       "23    win            28              Welsh Fire           London Spirit   \n",
       "24    win            29        Oval Invincibles           Trent Rockets   \n",
       "25    win            30  Northern Superchargers              Welsh Fire   \n",
       "26   lose            31    Manchester Originals          Southern Brave   \n",
       "27    win            32           London Spirit      Birmingham Phoenix   \n",
       "28    win            50          Southern Brave  Northern Superchargers   \n",
       "29    win             1           Trent Rockets          Southern Brave   \n",
       "30    win             2              Welsh Fire    Manchester Originals   \n",
       "31   lose             3           London Spirit        Oval Invincibles   \n",
       "32    win             5          Southern Brave              Welsh Fire   \n",
       "33    win             8  Northern Superchargers          Southern Brave   \n",
       "34    win            10    Manchester Originals      Birmingham Phoenix   \n",
       "35    win            12  Northern Superchargers           Trent Rockets   \n",
       "36    win            13        Oval Invincibles    Manchester Originals   \n",
       "37   lose            14      Birmingham Phoenix              Welsh Fire   \n",
       "38    win            15        Oval Invincibles  Northern Superchargers   \n",
       "39    win            16           London Spirit           Trent Rockets   \n",
       "40   lose            17              Welsh Fire          Southern Brave   \n",
       "41    win            18    Manchester Originals  Northern Superchargers   \n",
       "42    win            19      Birmingham Phoenix        Oval Invincibles   \n",
       "43    win            20           Trent Rockets              Welsh Fire   \n",
       "44    win            21        Oval Invincibles           London Spirit   \n",
       "45   lose            22      Birmingham Phoenix          Southern Brave   \n",
       "46    win            23    Manchester Originals           Trent Rockets   \n",
       "47    win            24           London Spirit  Northern Superchargers   \n",
       "48    win            25           Trent Rockets      Birmingham Phoenix   \n",
       "49    win            26        Oval Invincibles          Southern Brave   \n",
       "50    win            27    Manchester Originals  Northern Superchargers   \n",
       "51   lose            28           London Spirit              Welsh Fire   \n",
       "52   lose            29           Trent Rockets        Oval Invincibles   \n",
       "53   lose            30  Northern Superchargers              Welsh Fire   \n",
       "54   lose            31    Manchester Originals          Southern Brave   \n",
       "55    win            32      Birmingham Phoenix           London Spirit   \n",
       "56   lose            40          Southern Brave    Manchester Originals   \n",
       "57    win            50        Oval Invincibles    Manchester Originals   \n",
       "\n",
       "    gender  season  team_score  team_wickets                  winner  \\\n",
       "0   female    2023         157             6          Southern Brave   \n",
       "1   female    2023         110             8  Northern Superchargers   \n",
       "2   female    2023         165             3              Welsh Fire   \n",
       "3   female    2023         100             8          Southern Brave   \n",
       "4   female    2023          80             0              Welsh Fire   \n",
       "5   female    2023          87             0    Manchester Originals   \n",
       "6   female    2023         104             5          Southern Brave   \n",
       "7   female    2023         134             4  Northern Superchargers   \n",
       "8   female    2023         128             7        Oval Invincibles   \n",
       "9   female    2023         137             7              Welsh Fire   \n",
       "10  female    2023         143             4  Northern Superchargers   \n",
       "11  female    2023         124             4           Trent Rockets   \n",
       "12  female    2023         144             5          Southern Brave   \n",
       "13  female    2023         133             5  Northern Superchargers   \n",
       "14  female    2023         142             5        Oval Invincibles   \n",
       "15  female    2023         181             3              Welsh Fire   \n",
       "16  female    2023         118             9           London Spirit   \n",
       "17  female    2023         132             4          Southern Brave   \n",
       "18  female    2023         107             5           Trent Rockets   \n",
       "19  female    2023         135             7  Northern Superchargers   \n",
       "20  female    2023         134             6           Trent Rockets   \n",
       "21  female    2023         130             6          Southern Brave   \n",
       "22  female    2023         107             8    Manchester Originals   \n",
       "23  female    2023         161             4              Welsh Fire   \n",
       "24  female    2023         156             6        Oval Invincibles   \n",
       "25  female    2023         144             4  Northern Superchargers   \n",
       "26  female    2023         118             4          Southern Brave   \n",
       "27  female    2023         172             5           London Spirit   \n",
       "28  female    2023         139             6          Southern Brave   \n",
       "29    male    2023         133             8           Trent Rockets   \n",
       "30    male    2023          94             3              Welsh Fire   \n",
       "31    male    2023         131             0        Oval Invincibles   \n",
       "32    male    2023         147             8          Southern Brave   \n",
       "33    male    2023         201             3  Northern Superchargers   \n",
       "34    male    2023         160             8    Manchester Originals   \n",
       "35    male    2023         142             5  Northern Superchargers   \n",
       "36    male    2023         186             5        Oval Invincibles   \n",
       "37    male    2023         112             7              Welsh Fire   \n",
       "38    male    2023         185             5        Oval Invincibles   \n",
       "39    male    2023         195             4           London Spirit   \n",
       "40    male    2023          87             0          Southern Brave   \n",
       "41    male    2023         182             6    Manchester Originals   \n",
       "42    male    2023         160             8      Birmingham Phoenix   \n",
       "43    male    2023         152             6           Trent Rockets   \n",
       "44    male    2023         189             4        Oval Invincibles   \n",
       "45    male    2023         119             8          Southern Brave   \n",
       "46    male    2023         181             6    Manchester Originals   \n",
       "47    male    2023         160             6           London Spirit   \n",
       "48    male    2023         162             6           Trent Rockets   \n",
       "49    male    2023         139             7        Oval Invincibles   \n",
       "50    male    2023         164             6    Manchester Originals   \n",
       "51    male    2023         109             9              Welsh Fire   \n",
       "52    male    2023         148             7        Oval Invincibles   \n",
       "53    male    2023         158             7              Welsh Fire   \n",
       "54    male    2023         130             8          Southern Brave   \n",
       "55    male    2023         180             5      Birmingham Phoenix   \n",
       "56    male    2023         196             1    Manchester Originals   \n",
       "57    male    2023         161             5        Oval Invincibles   \n",
       "\n",
       "               toss_winner home_advantage  \\\n",
       "0            Trent Rockets             no   \n",
       "1   Northern Superchargers             no   \n",
       "2           Southern Brave             no   \n",
       "3           Southern Brave             no   \n",
       "4               Welsh Fire            yes   \n",
       "5     Manchester Originals             no   \n",
       "6           Southern Brave            yes   \n",
       "7   Northern Superchargers             no   \n",
       "8     Manchester Originals            yes   \n",
       "9       Birmingham Phoenix             no   \n",
       "10  Northern Superchargers            yes   \n",
       "11           Trent Rockets            yes   \n",
       "12          Southern Brave            yes   \n",
       "13  Northern Superchargers            yes   \n",
       "14      Birmingham Phoenix             no   \n",
       "15              Welsh Fire            yes   \n",
       "16        Oval Invincibles             no   \n",
       "17          Southern Brave            yes   \n",
       "18    Manchester Originals             no   \n",
       "19  Northern Superchargers            yes   \n",
       "20           Trent Rockets            yes   \n",
       "21        Oval Invincibles             no   \n",
       "22  Northern Superchargers             no   \n",
       "23           London Spirit            yes   \n",
       "24        Oval Invincibles            yes   \n",
       "25  Northern Superchargers            yes   \n",
       "26          Southern Brave            yes   \n",
       "27      Birmingham Phoenix             no   \n",
       "28  Northern Superchargers             no   \n",
       "29          Southern Brave            yes   \n",
       "30    Manchester Originals            yes   \n",
       "31        Oval Invincibles            yes   \n",
       "32              Welsh Fire            yes   \n",
       "33          Southern Brave             no   \n",
       "34      Birmingham Phoenix            yes   \n",
       "35           Trent Rockets             no   \n",
       "36    Manchester Originals            yes   \n",
       "37      Birmingham Phoenix            yes   \n",
       "38        Oval Invincibles             no   \n",
       "39           Trent Rockets            yes   \n",
       "40          Southern Brave            yes   \n",
       "41    Manchester Originals             no   \n",
       "42        Oval Invincibles            yes   \n",
       "43              Welsh Fire             no   \n",
       "44        Oval Invincibles            yes   \n",
       "45      Birmingham Phoenix             no   \n",
       "46           Trent Rockets             no   \n",
       "47  Northern Superchargers            yes   \n",
       "48      Birmingham Phoenix            yes   \n",
       "49        Oval Invincibles             no   \n",
       "50    Manchester Originals            yes   \n",
       "51           London Spirit             no   \n",
       "52           Trent Rockets             no   \n",
       "53  Northern Superchargers            yes   \n",
       "54          Southern Brave            yes   \n",
       "55           London Spirit            yes   \n",
       "56    Manchester Originals             no   \n",
       "57    Manchester Originals             no   \n",
       "\n",
       "                                venue_city choose_to_bat   avg_score  \\\n",
       "0      Trent Bridge, Nottingham Nottingham            no  121.941176   \n",
       "1                  Headingley, Leeds Leeds            no  124.533333   \n",
       "2   The Rose Bowl, Southampton Southampton            no  118.857143   \n",
       "3   The Rose Bowl, Southampton Southampton            no  128.428571   \n",
       "4           Kennington Oval, London London            no  118.437500   \n",
       "5      Old Trafford, Manchester Manchester            no  123.625000   \n",
       "6                    Lord's, London London            no  115.714286   \n",
       "7      Trent Bridge, Nottingham Nottingham           yes  126.533333   \n",
       "8           Kennington Oval, London London            no  116.176471   \n",
       "9         Edgbaston, Birmingham Birmingham            no  119.375000   \n",
       "10                 Headingley, Leeds Leeds           yes  127.000000   \n",
       "11                   Lord's, London London            no  114.933333   \n",
       "12         Sophia Gardens, Cardiff Cardiff            no  120.411765   \n",
       "13                 Headingley, Leeds Leeds           yes  127.941176   \n",
       "14        Edgbaston, Birmingham Birmingham            no  117.473684   \n",
       "15         Sophia Gardens, Cardiff Cardiff           yes  121.722222   \n",
       "16          Kennington Oval, London London            no  115.500000   \n",
       "17  The Rose Bowl, Southampton Southampton           yes  124.818182   \n",
       "18     Trent Bridge, Nottingham Nottingham           yes  119.812500   \n",
       "19                   Lord's, London London            no  115.647059   \n",
       "20     Trent Bridge, Nottingham Nottingham           yes  122.157895   \n",
       "21  The Rose Bowl, Southampton Southampton           yes  117.666667   \n",
       "22     Old Trafford, Manchester Manchester           yes  128.631579   \n",
       "23         Sophia Gardens, Cardiff Cardiff            no  124.842105   \n",
       "24          Kennington Oval, London London           yes  118.227273   \n",
       "25                 Headingley, Leeds Leeds           yes  127.550000   \n",
       "26     Old Trafford, Manchester Manchester            no  118.444444   \n",
       "27        Edgbaston, Birmingham Birmingham            no  117.842105   \n",
       "28                   Lord's, London London           yes  125.240000   \n",
       "29     Trent Bridge, Nottingham Nottingham            no  141.388889   \n",
       "30         Sophia Gardens, Cardiff Cardiff            no  132.937500   \n",
       "31                   Lord's, London London            no  141.125000   \n",
       "32  The Rose Bowl, Southampton Southampton            no  133.055556   \n",
       "33  The Rose Bowl, Southampton Southampton            no  151.533333   \n",
       "34     Old Trafford, Manchester Manchester            no  143.352941   \n",
       "35     Trent Bridge, Nottingham Nottingham            no  154.625000   \n",
       "36          Kennington Oval, London London            no  144.500000   \n",
       "37        Edgbaston, Birmingham Birmingham           yes  142.500000   \n",
       "38                 Headingley, Leeds Leeds           yes  146.941176   \n",
       "39                   Lord's, London London            no  140.529412   \n",
       "40         Sophia Gardens, Cardiff Cardiff            no  130.631579   \n",
       "41                 Headingley, Leeds Leeds           yes  141.526316   \n",
       "42        Edgbaston, Birmingham Birmingham            no  140.894737   \n",
       "43         Sophia Gardens, Cardiff Cardiff            no  143.333333   \n",
       "44          Kennington Oval, London London           yes  147.473684   \n",
       "45  The Rose Bowl, Southampton Southampton           yes  141.850000   \n",
       "46     Trent Bridge, Nottingham Nottingham            no  143.550000   \n",
       "47                   Lord's, London London            no  145.842105   \n",
       "48     Trent Bridge, Nottingham Nottingham            no  144.913043   \n",
       "49  The Rose Bowl, Southampton Southampton           yes  149.550000   \n",
       "50     Old Trafford, Manchester Manchester           yes  145.333333   \n",
       "51         Sophia Gardens, Cardiff Cardiff           yes  146.550000   \n",
       "52          Kennington Oval, London London           yes  145.625000   \n",
       "53                 Headingley, Leeds Leeds           yes  150.619048   \n",
       "54     Old Trafford, Manchester Manchester            no  146.181818   \n",
       "55        Edgbaston, Birmingham Birmingham            no  139.636364   \n",
       "56          Kennington Oval, London London           yes  131.625000   \n",
       "57                   Lord's, London London           yes  149.136364   \n",
       "\n",
       "    avg_win_rate  avg_wickets_out last_match_result  \n",
       "0       0.764706         5.000000              lose  \n",
       "1       0.466667         6.400000              lose  \n",
       "2       0.214286         6.785714              lose  \n",
       "3       0.500000         5.000000               win  \n",
       "4       0.750000         4.687500               win  \n",
       "5       0.437500         6.500000              lose  \n",
       "6       0.428571         6.142857               win  \n",
       "7       0.466667         5.200000              lose  \n",
       "8       0.705882         4.411765              lose  \n",
       "9       0.312500         6.562500               win  \n",
       "10      0.500000         5.125000               win  \n",
       "11      0.400000         6.066667              lose  \n",
       "12      0.352941         6.588235               win  \n",
       "13      0.529412         5.058824               win  \n",
       "14      0.684211         4.578947              lose  \n",
       "15      0.333333         6.500000              lose  \n",
       "16      0.375000         5.937500              lose  \n",
       "17      0.772727         5.136364               win  \n",
       "18      0.375000         5.312500              lose  \n",
       "19      0.411765         6.117647               win  \n",
       "20      0.421053         5.789474               win  \n",
       "21      0.666667         4.380952              lose  \n",
       "22      0.578947         5.105263               win  \n",
       "23      0.368421         6.315789               win  \n",
       "24      0.636364         4.454545              lose  \n",
       "25      0.550000         5.250000              lose  \n",
       "26      0.388889         5.388889               win  \n",
       "27      0.368421         6.210526              lose  \n",
       "28      0.800000         4.880000               win  \n",
       "29      0.666667         5.222222               win  \n",
       "30      0.187500         6.625000              lose  \n",
       "31      0.375000         6.562500              lose  \n",
       "32      0.555556         5.222222              lose  \n",
       "33      0.466667         6.133333               win  \n",
       "34      0.470588         6.058824              lose  \n",
       "35      0.500000         5.937500               win  \n",
       "36      0.562500         6.062500               win  \n",
       "37      0.611111         5.611111              lose  \n",
       "38      0.588235         6.000000               win  \n",
       "39      0.352941         6.176471              lose  \n",
       "40      0.263158         6.315789               win  \n",
       "41      0.473684         5.842105              lose  \n",
       "42      0.578947         5.684211              lose  \n",
       "43      0.619048         5.428571              lose  \n",
       "44      0.578947         5.631579              lose  \n",
       "45      0.600000         5.800000               win  \n",
       "46      0.500000         5.850000               win  \n",
       "47      0.368421         6.105263              lose  \n",
       "48      0.608696         5.434783              lose  \n",
       "49      0.600000         5.550000               win  \n",
       "50      0.523810         5.857143               win  \n",
       "51      0.400000         6.100000               win  \n",
       "52      0.625000         5.458333               win  \n",
       "53      0.428571         5.904762              lose  \n",
       "54      0.545455         5.863636               win  \n",
       "55      0.545455         6.045455              lose  \n",
       "56      0.583333         5.208333               win  \n",
       "57      0.636364         5.590909               win  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2023_updated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9b2e9d7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Result               0\n",
       "match_number         0\n",
       "team                 0\n",
       "opponent             0\n",
       "gender               0\n",
       "season               0\n",
       "team_score           0\n",
       "team_wickets         0\n",
       "winner               0\n",
       "toss_winner          0\n",
       "home_advantage       0\n",
       "venue_city           0\n",
       "choose_to_bat        0\n",
       "avg_score            0\n",
       "avg_win_rate         0\n",
       "avg_wickets_out      0\n",
       "last_match_result    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2023_updated.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0b80b292",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['win', 'lose'], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2023_updated['Result'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9f0dce80",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert 'Result' variable to binary class\n",
    "df_2023_updated['Result'] = df_2023_updated['Result'].map({'win':1,'lose':0})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "083dfebf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    37\n",
       "0    21\n",
       "Name: Result, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2023_updated['Result'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c982ae4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_updated['gender'] = df_2023_updated['gender'].map({'female': 0, 'male': 1})\n",
    "df_2023_updated['home_advantage'] = df_2023_updated['home_advantage'].map({'no': 0, 'yes': 1})\n",
    "df_2023_updated['choose_to_bat'] = df_2023_updated['choose_to_bat'].map({'no': 0, 'yes': 1})\n",
    "df_2023_updated['last_match_result'] = df_2023_updated['last_match_result'].map({'win': 1, 'lose': 0})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "40e77dd6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Trent Bridge, Nottingham Nottingham       8\n",
       "The Rose Bowl, Southampton Southampton    8\n",
       "Kennington Oval, London London            8\n",
       "Lord's, London London                     8\n",
       "Headingley, Leeds Leeds                   7\n",
       "Sophia Gardens, Cardiff Cardiff           7\n",
       "Old Trafford, Manchester Manchester       6\n",
       "Edgbaston, Birmingham Birmingham          6\n",
       "Name: venue_city, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2023_updated['venue_city'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9c0ef6f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "team_to_city = {\"Southern Brave\": \"The Rose Bowl, Southampton, Southampton\", \n",
    "  \"Oval Invincibles\": \"Kennington Oval, London, London\",\n",
    "  \"Birmingham Phoenix\": \"Edgbaston, Birmingham, Birmingham\",\n",
    "  \"Trent Rockets\": \"Trent Bridge, Nottingham, Nottingham\", \n",
    "  \"Manchester Originals\": \"Old Trafford, Manchester, Manchester\", \n",
    "  \"Northern Superchargers\": \"Headingley, Leeds, Leeds\", \n",
    "  \"London Spirit\": \"Lord's, London, London\", \n",
    "  \"Welsh Fire\": \"Sophia Gardens, Cardiff, Cardiff\"}\n",
    "\n",
    "all_teams = pd.concat([df_2023_updated['team'], df_2023_updated['opponent'], \n",
    "                       df_2023_updated['winner'], df_2023_updated['toss_winner']])\n",
    "\n",
    "label_encoder = LabelEncoder()\n",
    "label_encoder.fit(all_teams)\n",
    "\n",
    "df_2023_updated['team_code'] = label_encoder.transform(df_2023_updated['team'])\n",
    "df_2023_updated['opponent_code'] = label_encoder.transform(df_2023_updated['opponent'])\n",
    "df_2023_updated['winner_code'] = label_encoder.transform(df_2023_updated['winner'])\n",
    "df_2023_updated['toss_winner_code'] = label_encoder.transform(df_2023_updated['toss_winner'])\n",
    "\n",
    "df_2023_updated['venue_city_code'] = df_2023_updated.apply(lambda row: row['team_code'] if row['venue_city'] == team_to_city.get(row['team'], \"\") else row['opponent_code'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6c786dd8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Birmingham Phoenix', 'London Spirit', 'Manchester Originals',\n",
       "       'Northern Superchargers', 'Oval Invincibles', 'Southern Brave',\n",
       "       'Trent Rockets', 'Welsh Fire'], dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_encoder.classes_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "479d0af7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Birmingham Phoenix: 0\n",
      "London Spirit: 1\n",
      "Manchester Originals: 2\n",
      "Northern Superchargers: 3\n",
      "Oval Invincibles: 4\n",
      "Southern Brave: 5\n",
      "Trent Rockets: 6\n",
      "Welsh Fire: 7\n"
     ]
    }
   ],
   "source": [
    "team_to_code_mapping = {team: code for code, team in enumerate(label_encoder.classes_)}\n",
    "for team, code in team_to_code_mapping.items():\n",
    "    print(f\"{team}: {code}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3309fd75",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_updated.drop(columns=['team', 'opponent', 'winner', 'toss_winner', 'venue_city'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "97b64a7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_order = ['Result', \n",
    "             'match_number', 'team_code', 'opponent_code',\n",
    "             'gender','season',\n",
    "             'team_score', 'team_wickets', \n",
    "             'winner_code','toss_winner_code',\n",
    "             'home_advantage', 'venue_city_code', \n",
    "             'choose_to_bat', \n",
    "             'avg_score','avg_win_rate','avg_wickets_out','last_match_result']\n",
    "df_2023_updated = df_2023_updated[new_order]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5fbd8c58",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_updated.reset_index(drop=True).to_csv('/Users/quinne/Desktop/dissertation_dataset/prediction_set_encoding_halftime_model.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1ec53f7c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 58 entries, 0 to 57\n",
      "Data columns (total 17 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Result             58 non-null     int64  \n",
      " 1   match_number       58 non-null     int64  \n",
      " 2   team_code          58 non-null     int64  \n",
      " 3   opponent_code      58 non-null     int64  \n",
      " 4   gender             58 non-null     int64  \n",
      " 5   season             58 non-null     int64  \n",
      " 6   team_score         58 non-null     int64  \n",
      " 7   team_wickets       58 non-null     int64  \n",
      " 8   winner_code        58 non-null     int64  \n",
      " 9   toss_winner_code   58 non-null     int64  \n",
      " 10  home_advantage     58 non-null     int64  \n",
      " 11  venue_city_code    58 non-null     int64  \n",
      " 12  choose_to_bat      58 non-null     int64  \n",
      " 13  avg_score          58 non-null     float64\n",
      " 14  avg_win_rate       58 non-null     float64\n",
      " 15  avg_wickets_out    58 non-null     float64\n",
      " 16  last_match_result  58 non-null     int64  \n",
      "dtypes: float64(3), int64(14)\n",
      "memory usage: 7.8 KB\n"
     ]
    }
   ],
   "source": [
    "df_2023_updated.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cf41034",
   "metadata": {},
   "source": [
    "### Prediction set in a full-time model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7ec2168b",
   "metadata": {},
   "outputs": [],
   "source": [
    "columns_to_keep = ['Result', \n",
    "                   \"match_number\", \"team_code\", \"opponent_code\", \n",
    "                   \"gender\", 'season', \n",
    "#                    'team_score', 'team_wickets', \n",
    "#                    'winner_code','toss_winner_code',\n",
    "                   'home_advantage', 'venue_city_code', \n",
    "#                    'choose_to_bat', \n",
    "                   'avg_score','avg_win_rate','avg_wickets_out','last_match_result']\n",
    "df_2023_full = df_2023_updated[columns_to_keep]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "cbe3adf9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(58, 12)\n"
     ]
    }
   ],
   "source": [
    "print(df_2023_full.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2429e67a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 58 entries, 0 to 57\n",
      "Data columns (total 12 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Result             58 non-null     int64  \n",
      " 1   match_number       58 non-null     int64  \n",
      " 2   team_code          58 non-null     int64  \n",
      " 3   opponent_code      58 non-null     int64  \n",
      " 4   gender             58 non-null     int64  \n",
      " 5   season             58 non-null     int64  \n",
      " 6   home_advantage     58 non-null     int64  \n",
      " 7   venue_city_code    58 non-null     int64  \n",
      " 8   avg_score          58 non-null     float64\n",
      " 9   avg_win_rate       58 non-null     float64\n",
      " 10  avg_wickets_out    58 non-null     float64\n",
      " 11  last_match_result  58 non-null     int64  \n",
      "dtypes: float64(3), int64(9)\n",
      "memory usage: 5.6 KB\n"
     ]
    }
   ],
   "source": [
    "df_2023_full.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1b0452cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>match_number</th>\n",
       "      <th>team_code</th>\n",
       "      <th>opponent_code</th>\n",
       "      <th>gender</th>\n",
       "      <th>season</th>\n",
       "      <th>home_advantage</th>\n",
       "      <th>venue_city_code</th>\n",
       "      <th>avg_score</th>\n",
       "      <th>avg_win_rate</th>\n",
       "      <th>avg_wickets_out</th>\n",
       "      <th>last_match_result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
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       "      <td>0</td>\n",
       "      <td>2023</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>124.533333</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>5</td>\n",
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       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2023</td>\n",
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       "      <td>5</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2023</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>128.428571</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>118.437500</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>4.687500</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Result  match_number  team_code  opponent_code  gender  season  \\\n",
       "0       1             1          5              6       0    2023   \n",
       "1       0             4          0              3       0    2023   \n",
       "2       1             5          7              5       0    2023   \n",
       "3       0             8          3              5       0    2023   \n",
       "4       0             9          4              7       0    2023   \n",
       "\n",
       "   home_advantage  venue_city_code   avg_score  avg_win_rate  avg_wickets_out  \\\n",
       "0               0                6  121.941176      0.764706         5.000000   \n",
       "1               0                3  124.533333      0.466667         6.400000   \n",
       "2               0                5  118.857143      0.214286         6.785714   \n",
       "3               0                5  128.428571      0.500000         5.000000   \n",
       "4               1                7  118.437500      0.750000         4.687500   \n",
       "\n",
       "   last_match_result  \n",
       "0                  0  \n",
       "1                  0  \n",
       "2                  0  \n",
       "3                  1  \n",
       "4                  1  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2023_full.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "acf974c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_full.reset_index(drop=True).to_csv('/Users/quinne/Desktop/dissertation_dataset/prediction_set_encoding_fulltime_model.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acf2e459",
   "metadata": {},
   "source": [
    "### Base Model Dataset ('Random_Result')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "222e6920",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2023_random = df_2023_updated.copy()\n",
    "random_result_values = np.random.randint(0, 2, size=len(df_2023_random))\n",
    "\n",
    "# Insert the new 'Random_Result' at the first position\n",
    "df_2023_random.insert(loc=0, column='Random_Result', value=random_result_values)\n",
    "df_2023_random.drop('Result', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "a658eaf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Random_Result</th>\n",
       "      <th>match_number</th>\n",
       "      <th>team_code</th>\n",
       "      <th>opponent_code</th>\n",
       "      <th>gender</th>\n",
       "      <th>season</th>\n",
       "      <th>team_score</th>\n",
       "      <th>team_wickets</th>\n",
       "      <th>winner_code</th>\n",
       "      <th>toss_winner_code</th>\n",
       "      <th>home_advantage</th>\n",
       "      <th>venue_city_code</th>\n",
       "      <th>choose_to_bat</th>\n",
       "      <th>avg_score</th>\n",
       "      <th>avg_win_rate</th>\n",
       "      <th>avg_wickets_out</th>\n",
       "      <th>last_match_result</th>\n",
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       "      <td>5.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2023</td>\n",
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       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
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       "      <td>3</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.466667</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2023</td>\n",
       "      <td>165</td>\n",
       "      <td>3</td>\n",
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       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>118.857143</td>\n",
       "      <td>0.214286</td>\n",
       "      <td>6.785714</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2023</td>\n",
       "      <td>100</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>128.428571</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>2023</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>118.437500</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>4.687500</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   Random_Result  match_number  team_code  opponent_code  gender  season  \\\n",
       "0              0             1          5              6       0    2023   \n",
       "1              1             4          0              3       0    2023   \n",
       "2              0             5          7              5       0    2023   \n",
       "3              1             8          3              5       0    2023   \n",
       "4              0             9          4              7       0    2023   \n",
       "\n",
       "   team_score  team_wickets  winner_code  toss_winner_code  home_advantage  \\\n",
       "0         157             6            5                 6               0   \n",
       "1         110             8            3                 3               0   \n",
       "2         165             3            7                 5               0   \n",
       "3         100             8            5                 5               0   \n",
       "4          80             0            7                 7               1   \n",
       "\n",
       "   venue_city_code  choose_to_bat   avg_score  avg_win_rate  avg_wickets_out  \\\n",
       "0                6              0  121.941176      0.764706         5.000000   \n",
       "1                3              0  124.533333      0.466667         6.400000   \n",
       "2                5              0  118.857143      0.214286         6.785714   \n",
       "3                5              0  128.428571      0.500000         5.000000   \n",
       "4                7              0  118.437500      0.750000         4.687500   \n",
       "\n",
       "   last_match_result  \n",
       "0                  0  \n",
       "1                  0  \n",
       "2                  0  \n",
       "3                  1  \n",
       "4                  1  "
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2023_random.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b510d2ab",
   "metadata": {},
   "source": [
    "## Applying the prediction set to the models application with optimal parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "c6f921cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bat = pd.read_csv('/Users/quinne/Desktop/dissertation_dataset/halftime_encode_python.csv')\n",
    "df_bat\n",
    "\n",
    "X_train = df_bat.drop(\"Result\", axis=1)\n",
    "y_train = df_bat['Result']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "036ffdc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_number</th>\n",
       "      <th>team_code</th>\n",
       "      <th>opponent_code</th>\n",
       "      <th>gender</th>\n",
       "      <th>season</th>\n",
       "      <th>team_score</th>\n",
       "      <th>team_wickets</th>\n",
       "      <th>winner_code</th>\n",
       "      <th>toss_winner_code</th>\n",
       "      <th>home_advantage</th>\n",
       "      <th>venue_city_code</th>\n",
       "      <th>choose_to_bat</th>\n",
       "      <th>avg_score</th>\n",
       "      <th>avg_win_rate</th>\n",
       "      <th>avg_wickets_out</th>\n",
       "      <th>last_match_result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2021</td>\n",
       "      <td>113</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>128.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2021</td>\n",
       "      <td>149</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>131.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2021</td>\n",
       "      <td>110</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2021</td>\n",
       "      <td>151</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>116.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   match_number  team_code  opponent_code  gender  season  team_score  \\\n",
       "0             5          4              1       0    2021         132   \n",
       "1             6          0              2       0    2021         113   \n",
       "2             7          3              6       0    2021         149   \n",
       "3             8          7              5       0    2021         110   \n",
       "4            10          6              1       0    2021         151   \n",
       "\n",
       "   team_wickets  winner_code  toss_winner_code  home_advantage  \\\n",
       "0             7            4                 1               0   \n",
       "1             9            0                 0               0   \n",
       "2             7            3                 3               0   \n",
       "3             7            5                 5               1   \n",
       "4             4            6                 6               0   \n",
       "\n",
       "   venue_city_code  choose_to_bat  avg_score  avg_win_rate  avg_wickets_out  \\\n",
       "0                1              0      139.0           1.0              5.0   \n",
       "1                2              1      128.0           0.0              6.0   \n",
       "2                6              1      131.0           1.0              4.0   \n",
       "3                5              0      130.0           0.0              8.0   \n",
       "4                1              1      116.0           0.0              7.0   \n",
       "\n",
       "   last_match_result  \n",
       "0                  1  \n",
       "1                  0  \n",
       "2                  1  \n",
       "3                  0  \n",
       "4                  0  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "7d8de7c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_new_season_half = df_2023_updated.drop(\"Result\", axis=1)\n",
    "y_new_season_half = df_2023_updated['Result']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "398b46df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    0\n",
       "2    1\n",
       "3    0\n",
       "4    0\n",
       "Name: Result, dtype: int64"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_new_season_half.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "9f301aaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_new_season_half_random = df_2023_random['Random_Result']\n",
    "X_new_season_half_random = df_2023_random.drop('Random_Result', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "aa7951cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0\n",
       "1    1\n",
       "2    0\n",
       "3    1\n",
       "4    0\n",
       "Name: Random_Result, dtype: int64"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_new_season_half_random.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "693a3d47",
   "metadata": {},
   "source": [
    "## Half-time models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "c6dbebe6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "\n",
    "np.random.seed(0)\n",
    "random.seed(0)\n",
    "tf.random.set_seed(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "8c0301d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Step 1: Feature scaling\n",
    "# Use the same scaler trained on the historical data\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_new_season_half_scaled = scaler.transform(X_new_season_half)  \n",
    "X_new_season_half_random_scaled = scaler.transform(X_new_season_half_random)  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc889764",
   "metadata": {},
   "source": [
    "### 1. KNN (K-Nearest Neighbors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "7a8684c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted Probabilities for KNN in 2023 new season:\n",
      "[0.567966   0.34334066 0.43540661 0.28094742 0.58362097 0.44384412\n",
      " 0.41428619 0.47554525 0.59928069 0.5878778  0.51328008 0.57470838\n",
      " 0.49280087 0.58476072 0.60249775 0.51886153 0.40816122 0.66511002\n",
      " 0.27612333 0.50159255 0.58830343 0.36572434 0.20935299 0.73948688\n",
      " 0.65638109 0.58929485 0.51146933 0.57893972 0.4093932  0.33790246\n",
      " 0.38196816 0.55375749 0.50348352 0.60540318 0.553685   0.49510663\n",
      " 0.5834053  0.20842387 0.57859426 0.78692432 0.34358603 0.5024845\n",
      " 0.66576843 0.43313174 0.43194876 0.21379659 0.66162359 0.63328732\n",
      " 0.58234427 0.21209636 0.56122393 0.13978772 0.20556156 0.4973464\n",
      " 0.30983095 0.61841004 0.58558614 0.47973135]\n"
     ]
    }
   ],
   "source": [
    "#Best parameters for KNN: {'metric': 'euclidean', 'n_neighbors': 14, 'weights': 'distance'}\n",
    "\n",
    "# Train the model on historical data\n",
    "knn = KNeighborsClassifier(metric='euclidean', n_neighbors=14, weights='distance')\n",
    "knn.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Apply the model to the new season data with random results\n",
    "y_prob_new_season_knn_random = knn.predict_proba(X_new_season_half_random_scaled)[:, 1]\n",
    "y_pred_new_season_knn_random = (y_prob_new_season_knn_random > 0.5).astype(int)\n",
    "\n",
    "# Apply the model to the new season data\n",
    "y_prob_new_season_knn = knn.predict_proba(X_new_season_half_scaled)[:, 1]\n",
    "y_pred_new_season_knn = (y_prob_new_season_knn > 0.5).astype(int)\n",
    "\n",
    "print(\"Predicted Probabilities for KNN in 2023 new season:\")\n",
    "print(y_prob_new_season_knn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "ddd0f164",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy (Base Model):\t0.551724\n",
      "F1-score (Base Model):\t0.546875\n",
      "Precision (Base Model):\t0.546875\n",
      "Recall (Base Model):\t\t0.546875\n",
      "\n",
      "Classification performance (Base Model):\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.50      0.50      0.50        26\n",
      "           1       0.59      0.59      0.59        32\n",
      "\n",
      "    accuracy                           0.55        58\n",
      "   macro avg       0.55      0.55      0.55        58\n",
      "weighted avg       0.55      0.55      0.55        58\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Confusion matrix for base model (KNN)\n",
    "mat_knn_random = confusion_matrix(y_new_season_half_random, y_pred_new_season_knn_random)\n",
    "sns.heatmap(mat_knn_random.T, square=True, annot=True, fmt=\"d\", cmap=\"RdPu\")\n",
    "plt.xlabel(\"True label\")\n",
    "plt.ylabel(\"Predicted label\")\n",
    "plt.title(\"KNN Base Model\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Accuracy (Base Model):\\t%f\" % accuracy_score(y_new_season_half_random, y_pred_new_season_knn_random))\n",
    "print(\"F1-score (Base Model):\\t%f\" % f1_score(y_new_season_half_random, y_pred_new_season_knn_random, average='macro'))\n",
    "print(\"Precision (Base Model):\\t%f\" % precision_score(y_new_season_half_random, y_pred_new_season_knn_random, average='macro'))\n",
    "print(\"Recall (Base Model):\\t\\t%f\" % recall_score(y_new_season_half_random, y_pred_new_season_knn_random, average='macro'))\n",
    "print(\"\\nClassification performance (Base Model):\\n%s\" % classification_report(y_new_season_half_random, y_pred_new_season_knn_random))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "763531ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:\t0.706897\n",
      "F1-score:\t0.695961\n",
      "Precision:\t0.694712\n",
      "Recall:\t\t0.708494\n",
      "\n",
      "Classification performance:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.58      0.71      0.64        21\n",
      "           1       0.81      0.70      0.75        37\n",
      "\n",
      "    accuracy                           0.71        58\n",
      "   macro avg       0.69      0.71      0.70        58\n",
      "weighted avg       0.73      0.71      0.71        58\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Confusion matrix for KNN\n",
    "mat_knn = confusion_matrix(y_new_season_half, y_pred_new_season_knn)\n",
    "sns.heatmap(mat_knn.T, square=True, annot=True, fmt=\"d\", cmap=\"RdPu\")\n",
    "plt.xlabel(\"True label\")\n",
    "plt.ylabel(\"Predicted label\")\n",
    "plt.title(\"KNN\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Accuracy:\\t%f\" % accuracy_score(y_new_season_half, y_pred_new_season_knn))\n",
    "print(\"F1-score:\\t%f\" % f1_score(y_new_season_half, y_pred_new_season_knn, average='macro'))\n",
    "print(\"Precision:\\t%f\" % precision_score(y_new_season_half, y_pred_new_season_knn, average='macro'))\n",
    "print(\"Recall:\\t\\t%f\" % recall_score(y_new_season_half, y_pred_new_season_knn, average='macro'))\n",
    "print(\"\\nClassification performance:\\n%s\" % classification_report(y_new_season_half, y_pred_new_season_knn))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fc6e3b3",
   "metadata": {},
   "source": [
    "### 2. SVM (Support Vector Machine) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "578480b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted Probabilities for SVM in 2023 season:\n",
      "[0.73563343 0.05493971 0.55891142 0.18778702 0.78406076 0.5\n",
      " 0.32911406 0.14367413 0.87829406 0.9695111  0.8053533  0.37142307\n",
      " 0.77570631 0.8128205  0.95938769 0.83699582 0.12044759 0.93684546\n",
      " 0.06941769 0.67001208 0.94354521 0.22454435 0.128436   0.98390121\n",
      " 0.76666615 0.6722243  0.84487697 0.84971803 0.41460292 0.18828752\n",
      " 0.753262   0.20998774 0.66638374 0.88011399 0.47305941 0.71394832\n",
      " 0.84047633 0.12648409 0.74654127 0.93868132 0.57646445 0.44836207\n",
      " 0.82001242 0.60104386 0.60408057 0.07657237 0.94132418 0.68607299\n",
      " 0.90731994 0.12704608 0.78819462 0.06534675 0.13297101 0.24314353\n",
      " 0.60934998 0.55511528 0.8529773  0.56583986]\n"
     ]
    }
   ],
   "source": [
    "#Best parameters for SVM: {'C': 10, 'gamma': 'scale', 'kernel': 'rbf'}\n",
    "\n",
    "#Train the model on historical data\n",
    "svm = SVC(C=10, gamma='scale', kernel='rbf', probability=True)\n",
    "svm.fit(X_train_scaled, y_train)\n",
    "\n",
    "#Apply the model to the new season data\n",
    "y_prob_new_season = svm.predict_proba(X_new_season_half_scaled)[:, 1]\n",
    "y_pred_new_season = (y_prob_new_season > 0.5).astype(int)\n",
    "\n",
    "print(\"Predicted Probabilities for SVM in 2023 season:\")\n",
    "print(y_prob_new_season)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "9224fb33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0,\n",
       "       0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1,\n",
       "       1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred_new_season"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "d17d5b9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:\t0.758621\n",
      "F1-score:\t0.738739\n",
      "Precision:\t0.738739\n",
      "Recall:\t\t0.738739\n",
      "\n",
      "Classification performance:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.67      0.67      0.67        21\n",
      "           1       0.81      0.81      0.81        37\n",
      "\n",
      "    accuracy                           0.76        58\n",
      "   macro avg       0.74      0.74      0.74        58\n",
      "weighted avg       0.76      0.76      0.76        58\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Confusion matrix for SVM\n",
    "mat_svm = confusion_matrix(y_new_season_half, y_pred_new_season)\n",
    "sns.heatmap(mat_svm.T, square=True, annot=True, fmt=\"d\", cmap=\"RdPu\")\n",
    "plt.xlabel(\"True label\")\n",
    "plt.ylabel(\"Predicted label\")\n",
    "plt.title(\"SVM\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Accuracy:\\t%f\" % accuracy_score(y_new_season_half, y_pred_new_season))\n",
    "print(\"F1-score:\\t%f\" % f1_score(y_new_season_half, y_pred_new_season, average='macro'))\n",
    "print(\"Precision:\\t%f\" % precision_score(y_new_season_half, y_pred_new_season, average='macro'))\n",
    "print(\"Recall:\\t\\t%f\" % recall_score(y_new_season_half, y_pred_new_season, average='macro'))\n",
    "print(\"\\nClassification performance:\\n%s\" % classification_report(y_new_season_half, y_pred_new_season))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d33af47e",
   "metadata": {},
   "source": [
    "### 3. Deep Netural Networks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "035b3d99",
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout\n",
    "from keras.wrappers.scikit_learn import KerasClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "d5f863e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-29 21:33:32.913842: W tensorflow/tsl/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2/2 [==============================] - 0s 882us/step\n",
      "DNN Model\n",
      "Predicted Probabilities in 2023 new season:\n",
      "[0.96555233 0.02416969 0.9664384  0.17240594 0.98858273 0.38526565\n",
      " 0.28417355 0.7827725  0.48757842 0.96832114 0.93502986 0.4185561\n",
      " 0.9098622  0.682058   0.86627656 0.98142385 0.32778376 0.84130734\n",
      " 0.03366463 0.5629885  0.812144   0.22398488 0.06810232 0.96234554\n",
      " 0.9777471  0.99050754 0.8627471  0.82975155 0.34990472 0.0829193\n",
      " 0.09058742 0.516161   0.7832598  0.9838352  0.24876119 0.94899434\n",
      " 0.70680356 0.00320567 0.46468988 0.99913234 0.6137348  0.20570967\n",
      " 0.9949282  0.4966769  0.6173751  0.00713261 0.9956868  0.9537395\n",
      " 0.4492383  0.08101846 0.5497238  0.0015137  0.06195604 0.11787122\n",
      " 0.38525507 0.82546425 0.80647933 0.39575133]\n"
     ]
    }
   ],
   "source": [
    "#Best parameters found:  {'activation': 'relu', 'batch_size': 20, 'dropout_rate': 0.2, 'epochs': 100}\n",
    "#Best score 0.7583333373069763\n",
    "\n",
    "# Define the model with the optimal parameters\n",
    "def create_model():\n",
    "    model = Sequential()\n",
    "    model.add(Dense(16, input_dim=16, activation='relu'))\n",
    "    model.add(Dropout(0.2))\n",
    "    model.add(Dense(8, activation='relu'))\n",
    "    model.add(Dense(1, activation='sigmoid'))\n",
    "    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "    return model\n",
    "\n",
    "# Train the model on full historical data\n",
    "model = create_model()\n",
    "model.fit(X_train_scaled, y_train, epochs=100, batch_size=20, verbose=0)\n",
    "\n",
    "# Apply the model to the new season data\n",
    "y_prob_new_season_dnn = model.predict(X_new_season_half_scaled).flatten()\n",
    "y_pred_new_season_dnn = (y_prob_new_season_dnn > 0.5).astype(int)\n",
    "\n",
    "# Evaluate the model\n",
    "print(\"DNN Model\")\n",
    "print(\"Predicted Probabilities in 2023 new season:\")\n",
    "print(y_prob_new_season_dnn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "22584cce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0,\n",
       "       0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0,\n",
       "       1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0])"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred_new_season_dnn "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "bccdd577",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:\t0.672414\n",
      "F1-score:\t0.724638\n",
      "Precision:\t0.781250\n",
      "Recall:\t\t0.675676\n",
      "\n",
      "Classification performance:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.54      0.67      0.60        21\n",
      "           1       0.78      0.68      0.72        37\n",
      "\n",
      "    accuracy                           0.67        58\n",
      "   macro avg       0.66      0.67      0.66        58\n",
      "weighted avg       0.69      0.67      0.68        58\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Confusion matrix\n",
    "mat_dnn = confusion_matrix(y_new_season_half, y_pred_new_season_dnn)\n",
    "sns.heatmap(mat_dnn.T, square=True, annot=True, fmt='d', cmap='RdPu')\n",
    "plt.xlabel('True label')\n",
    "plt.ylabel('Predicted label')\n",
    "plt.title(\"DNN\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Accuracy:\\t%f\" % accuracy_score(y_new_season_half, y_pred_new_season_dnn))\n",
    "print(\"F1-score:\\t%f\" % f1_score(y_new_season_half, y_pred_new_season_dnn))\n",
    "print(\"Precision:\\t%f\" % precision_score(y_new_season_half, y_pred_new_season_dnn))\n",
    "print(\"Recall:\\t\\t%f\" % recall_score(y_new_season_half, y_pred_new_season_dnn))\n",
    "print(\"\\nClassification performance:\\n%s\" % classification_report(y_new_season_half, y_pred_new_season_dnn))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f2a97f7",
   "metadata": {},
   "source": [
    "### 4. XGBoost（Extreme Gradient Boosting）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "a7ec3bdc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xgboost as xgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "ba2e3e82",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/quinne/miniforge3/envs/tf/lib/python3.8/site-packages/xgboost/sklearn.py:1395: UserWarning: `use_label_encoder` is deprecated in 1.7.0.\n",
      "  warnings.warn(\"`use_label_encoder` is deprecated in 1.7.0.\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Predicted Probabilities for XGBoost in 2023 new season:\n",
      "[0.9886679  0.05137794 0.8702802  0.30187497 0.9467987  0.07985428\n",
      " 0.03568773 0.4007409  0.75537074 0.2128822  0.22013605 0.22074543\n",
      " 0.43362898 0.5588269  0.7304147  0.946146   0.13338602 0.8786544\n",
      " 0.04464298 0.11713608 0.9161994  0.6663665  0.04847864 0.97787\n",
      " 0.9690411  0.42333382 0.5664827  0.69344044 0.7165287  0.2605861\n",
      " 0.11969002 0.04213867 0.62798554 0.9173437  0.31015134 0.10541995\n",
      " 0.91533554 0.38520777 0.8636445  0.98642933 0.15501666 0.68329656\n",
      " 0.8058648  0.9142448  0.9576681  0.01979082 0.97425735 0.9899921\n",
      " 0.95432615 0.03969944 0.79654735 0.09831133 0.08110185 0.58295184\n",
      " 0.06114799 0.76789004 0.25770152 0.9162875 ]\n"
     ]
    }
   ],
   "source": [
    "#Best parameters for XGBoost:  {'colsample_bytree': 0.9, 'learning_rate': 0.05, 'max_depth': 3, 'n_estimators': 500, 'subsample': 0.9}\n",
    "\n",
    "xgb_model = xgb.XGBClassifier(\n",
    "    colsample_bytree=0.9, \n",
    "    learning_rate=0.05, \n",
    "    max_depth=3, \n",
    "    n_estimators=500, \n",
    "    subsample=0.9,\n",
    "    use_label_encoder=False\n",
    ")\n",
    "xgb_model.fit(X_train, y_train)\n",
    "\n",
    "y_prob_new_season_xgb = xgb_model.predict_proba(X_new_season_half)[:, 1]\n",
    "y_pred_new_season_xgb = (y_prob_new_season_xgb > 0.5).astype(int)\n",
    "\n",
    "# Step 3: Evaluate the model\n",
    "print(\"\\nPredicted Probabilities for XGBoost in 2023 new season:\")\n",
    "print(y_prob_new_season_xgb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "adbb4d73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1,\n",
       "       0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1,\n",
       "       1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1])"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred_new_season_xgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "13d90620",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:\t0.758621\n",
      "F1-score:\t0.794118\n",
      "Precision:\t0.870968\n",
      "Recall:\t\t0.729730\n",
      "\n",
      "Classification performance:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.63      0.81      0.71        21\n",
      "           1       0.87      0.73      0.79        37\n",
      "\n",
      "    accuracy                           0.76        58\n",
      "   macro avg       0.75      0.77      0.75        58\n",
      "weighted avg       0.78      0.76      0.76        58\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Confusion matrix\n",
    "mat_xgb = confusion_matrix(y_new_season_half, y_pred_new_season_xgb)\n",
    "sns.heatmap(mat_xgb.T, square=True, annot=True, fmt='d', cmap='RdPu')\n",
    "plt.xlabel('True label')\n",
    "plt.ylabel('Predicted label')\n",
    "plt.title(\"XGBoost\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Accuracy:\\t%f\" % accuracy_score(y_new_season_half, y_pred_new_season_xgb))\n",
    "print(\"F1-score:\\t%f\" % f1_score(y_new_season_half, y_pred_new_season_xgb))\n",
    "print(\"Precision:\\t%f\" % precision_score(y_new_season_half, y_pred_new_season_xgb))\n",
    "print(\"Recall:\\t\\t%f\" % recall_score(y_new_season_half, y_pred_new_season_xgb))\n",
    "print(\"\\nClassification performance:\\n%s\" % classification_report(y_new_season_half, y_pred_new_season_xgb))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "768020cf",
   "metadata": {},
   "source": [
    "### 5. CatBoost "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "22caacfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from catboost import CatBoostClassifier, Pool, cv\n",
    "import catboost as cb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "de68d043",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>match_number</th>\n",
       "      <th>team</th>\n",
       "      <th>opponent</th>\n",
       "      <th>gender</th>\n",
       "      <th>season</th>\n",
       "      <th>team_score</th>\n",
       "      <th>team_wickets</th>\n",
       "      <th>winner</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>home_advantage</th>\n",
       "      <th>venue_city</th>\n",
       "      <th>choose_to_bat</th>\n",
       "      <th>avg_score</th>\n",
       "      <th>avg_win_rate</th>\n",
       "      <th>avg_wickets_out</th>\n",
       "      <th>last_match_result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>win</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>132</td>\n",
       "      <td>7</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>win</td>\n",
       "      <td>6</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>113</td>\n",
       "      <td>9</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>yes</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>win</td>\n",
       "      <td>7</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>149</td>\n",
       "      <td>7</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>131.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>lose</td>\n",
       "      <td>8</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>110</td>\n",
       "      <td>7</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>win</td>\n",
       "      <td>10</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>female</td>\n",
       "      <td>2021</td>\n",
       "      <td>151</td>\n",
       "      <td>4</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>116.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>lose</td>\n",
       "      <td>30</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>male</td>\n",
       "      <td>2022</td>\n",
       "      <td>139</td>\n",
       "      <td>6</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>140.642857</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>6.571429</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>win</td>\n",
       "      <td>31</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2022</td>\n",
       "      <td>135</td>\n",
       "      <td>8</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>no</td>\n",
       "      <td>152.714286</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>lose</td>\n",
       "      <td>32</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2022</td>\n",
       "      <td>143</td>\n",
       "      <td>9</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>no</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>yes</td>\n",
       "      <td>145.500000</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>5.785714</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>lose</td>\n",
       "      <td>40</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2022</td>\n",
       "      <td>150</td>\n",
       "      <td>7</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>140.533333</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>6.533333</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>lose</td>\n",
       "      <td>50</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>male</td>\n",
       "      <td>2022</td>\n",
       "      <td>120</td>\n",
       "      <td>9</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>148.800000</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>115 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Result  match_number                    team              opponent  \\\n",
       "0      win             5        Oval Invincibles         London Spirit   \n",
       "1      win             6      Birmingham Phoenix  Manchester Originals   \n",
       "2      win             7  Northern Superchargers         Trent Rockets   \n",
       "3     lose             8              Welsh Fire        Southern Brave   \n",
       "4      win            10           Trent Rockets         London Spirit   \n",
       "..     ...           ...                     ...                   ...   \n",
       "110   lose            30           London Spirit    Birmingham Phoenix   \n",
       "111    win            31  Northern Superchargers        Southern Brave   \n",
       "112   lose            32        Oval Invincibles  Manchester Originals   \n",
       "113   lose            40           London Spirit  Manchester Originals   \n",
       "114   lose            50    Manchester Originals         Trent Rockets   \n",
       "\n",
       "     gender  season  team_score  team_wickets                  winner  \\\n",
       "0    female    2021         132             7        Oval Invincibles   \n",
       "1    female    2021         113             9      Birmingham Phoenix   \n",
       "2    female    2021         149             7  Northern Superchargers   \n",
       "3    female    2021         110             7          Southern Brave   \n",
       "4    female    2021         151             4           Trent Rockets   \n",
       "..      ...     ...         ...           ...                     ...   \n",
       "110    male    2022         139             6      Birmingham Phoenix   \n",
       "111    male    2022         135             8  Northern Superchargers   \n",
       "112    male    2022         143             9    Manchester Originals   \n",
       "113    male    2022         150             7    Manchester Originals   \n",
       "114    male    2022         120             9           Trent Rockets   \n",
       "\n",
       "                toss_winner home_advantage  \\\n",
       "0             London Spirit             no   \n",
       "1        Birmingham Phoenix             no   \n",
       "2    Northern Superchargers             no   \n",
       "3            Southern Brave            yes   \n",
       "4             Trent Rockets             no   \n",
       "..                      ...            ...   \n",
       "110      Birmingham Phoenix            yes   \n",
       "111          Southern Brave            yes   \n",
       "112        Oval Invincibles             no   \n",
       "113           London Spirit             no   \n",
       "114    Manchester Originals             no   \n",
       "\n",
       "                                 venue_city choose_to_bat   avg_score  \\\n",
       "0                     Lord's, London London            no  139.000000   \n",
       "1       Old Trafford, Manchester Manchester           yes  128.000000   \n",
       "2       Trent Bridge, Nottingham Nottingham           yes  131.000000   \n",
       "3           Sophia Gardens, Cardiff Cardiff            no  130.000000   \n",
       "4                     Lord's, London London           yes  116.000000   \n",
       "..                                      ...           ...         ...   \n",
       "110                   Lord's, London London            no  140.642857   \n",
       "111                 Headingley, Leeds Leeds            no  152.714286   \n",
       "112     Old Trafford, Manchester Manchester           yes  145.500000   \n",
       "113  The Rose Bowl, Southampton Southampton           yes  140.533333   \n",
       "114                   Lord's, London London           yes  148.800000   \n",
       "\n",
       "     avg_win_rate  avg_wickets_out last_match_result  \n",
       "0        1.000000         5.000000               win  \n",
       "1        0.000000         6.000000              lose  \n",
       "2        1.000000         4.000000               win  \n",
       "3        0.000000         8.000000              lose  \n",
       "4        0.000000         7.000000              lose  \n",
       "..            ...              ...               ...  \n",
       "110      0.428571         6.571429              lose  \n",
       "111      0.428571         6.000000               win  \n",
       "112      0.571429         5.785714               win  \n",
       "113      0.400000         6.533333              lose  \n",
       "114      0.533333         6.000000               win  \n",
       "\n",
       "[115 rows x 17 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df= pd.read_csv('/Users/quinne/Desktop/dissertation_dataset/halftime_dataframe_R.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "d894e16d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Result</th>\n",
       "      <th>match_number</th>\n",
       "      <th>team</th>\n",
       "      <th>opponent</th>\n",
       "      <th>gender</th>\n",
       "      <th>season</th>\n",
       "      <th>team_score</th>\n",
       "      <th>team_wickets</th>\n",
       "      <th>winner</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>home_advantage</th>\n",
       "      <th>venue_city</th>\n",
       "      <th>choose_to_bat</th>\n",
       "      <th>avg_score</th>\n",
       "      <th>avg_win_rate</th>\n",
       "      <th>avg_wickets_out</th>\n",
       "      <th>last_match_result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>win</td>\n",
       "      <td>1</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>157</td>\n",
       "      <td>6</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>121.941176</td>\n",
       "      <td>0.764706</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>lose</td>\n",
       "      <td>4</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>110</td>\n",
       "      <td>8</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>no</td>\n",
       "      <td>124.533333</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>win</td>\n",
       "      <td>5</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>165</td>\n",
       "      <td>3</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>118.857143</td>\n",
       "      <td>0.214286</td>\n",
       "      <td>6.785714</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>lose</td>\n",
       "      <td>8</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>100</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>128.428571</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>lose</td>\n",
       "      <td>9</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>118.437500</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>4.687500</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>lose</td>\n",
       "      <td>10</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>no</td>\n",
       "      <td>123.625000</td>\n",
       "      <td>0.437500</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>lose</td>\n",
       "      <td>11</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>104</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>115.714286</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>6.142857</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>win</td>\n",
       "      <td>12</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>134</td>\n",
       "      <td>4</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>126.533333</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>5.200000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>win</td>\n",
       "      <td>13</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>128</td>\n",
       "      <td>7</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>116.176471</td>\n",
       "      <td>0.705882</td>\n",
       "      <td>4.411765</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>win</td>\n",
       "      <td>14</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>137</td>\n",
       "      <td>7</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>119.375000</td>\n",
       "      <td>0.312500</td>\n",
       "      <td>6.562500</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>win</td>\n",
       "      <td>15</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>143</td>\n",
       "      <td>4</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>127.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.125000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>lose</td>\n",
       "      <td>16</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>124</td>\n",
       "      <td>4</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>114.933333</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>6.066667</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>lose</td>\n",
       "      <td>17</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>144</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>120.411765</td>\n",
       "      <td>0.352941</td>\n",
       "      <td>6.588235</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>win</td>\n",
       "      <td>18</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>133</td>\n",
       "      <td>5</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>127.941176</td>\n",
       "      <td>0.529412</td>\n",
       "      <td>5.058824</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>win</td>\n",
       "      <td>19</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>142</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>117.473684</td>\n",
       "      <td>0.684211</td>\n",
       "      <td>4.578947</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>win</td>\n",
       "      <td>20</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>181</td>\n",
       "      <td>3</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>yes</td>\n",
       "      <td>121.722222</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>win</td>\n",
       "      <td>21</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>118</td>\n",
       "      <td>9</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>115.500000</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>5.937500</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>win</td>\n",
       "      <td>22</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>132</td>\n",
       "      <td>4</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>124.818182</td>\n",
       "      <td>0.772727</td>\n",
       "      <td>5.136364</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>lose</td>\n",
       "      <td>23</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>107</td>\n",
       "      <td>5</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>119.812500</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>5.312500</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>lose</td>\n",
       "      <td>24</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>135</td>\n",
       "      <td>7</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>115.647059</td>\n",
       "      <td>0.411765</td>\n",
       "      <td>6.117647</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>win</td>\n",
       "      <td>25</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>134</td>\n",
       "      <td>6</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>yes</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>122.157895</td>\n",
       "      <td>0.421053</td>\n",
       "      <td>5.789474</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>lose</td>\n",
       "      <td>26</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>130</td>\n",
       "      <td>6</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>117.666667</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>4.380952</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>lose</td>\n",
       "      <td>27</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>107</td>\n",
       "      <td>8</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>yes</td>\n",
       "      <td>128.631579</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>5.105263</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>win</td>\n",
       "      <td>28</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>161</td>\n",
       "      <td>4</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>124.842105</td>\n",
       "      <td>0.368421</td>\n",
       "      <td>6.315789</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>win</td>\n",
       "      <td>29</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>156</td>\n",
       "      <td>6</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>118.227273</td>\n",
       "      <td>0.636364</td>\n",
       "      <td>4.454545</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>win</td>\n",
       "      <td>30</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>144</td>\n",
       "      <td>4</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>127.550000</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>5.250000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>lose</td>\n",
       "      <td>31</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>118</td>\n",
       "      <td>4</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>no</td>\n",
       "      <td>118.444444</td>\n",
       "      <td>0.388889</td>\n",
       "      <td>5.388889</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>win</td>\n",
       "      <td>32</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>172</td>\n",
       "      <td>5</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>117.842105</td>\n",
       "      <td>0.368421</td>\n",
       "      <td>6.210526</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>win</td>\n",
       "      <td>50</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>female</td>\n",
       "      <td>2023</td>\n",
       "      <td>139</td>\n",
       "      <td>6</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>125.240000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>4.880000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>win</td>\n",
       "      <td>1</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>133</td>\n",
       "      <td>8</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>141.388889</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>5.222222</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>win</td>\n",
       "      <td>2</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>94</td>\n",
       "      <td>3</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>132.937500</td>\n",
       "      <td>0.187500</td>\n",
       "      <td>6.625000</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>lose</td>\n",
       "      <td>3</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>131</td>\n",
       "      <td>0</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>141.125000</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>6.562500</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>win</td>\n",
       "      <td>5</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>147</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>yes</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>133.055556</td>\n",
       "      <td>0.555556</td>\n",
       "      <td>5.222222</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>win</td>\n",
       "      <td>8</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>201</td>\n",
       "      <td>3</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>151.533333</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>6.133333</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>win</td>\n",
       "      <td>10</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>160</td>\n",
       "      <td>8</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>no</td>\n",
       "      <td>143.352941</td>\n",
       "      <td>0.470588</td>\n",
       "      <td>6.058824</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>win</td>\n",
       "      <td>12</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>142</td>\n",
       "      <td>5</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>154.625000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.937500</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>win</td>\n",
       "      <td>13</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>186</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>144.500000</td>\n",
       "      <td>0.562500</td>\n",
       "      <td>6.062500</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>lose</td>\n",
       "      <td>14</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>112</td>\n",
       "      <td>7</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>yes</td>\n",
       "      <td>142.500000</td>\n",
       "      <td>0.611111</td>\n",
       "      <td>5.611111</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>win</td>\n",
       "      <td>15</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>185</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>no</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>146.941176</td>\n",
       "      <td>0.588235</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>win</td>\n",
       "      <td>16</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>195</td>\n",
       "      <td>4</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>140.529412</td>\n",
       "      <td>0.352941</td>\n",
       "      <td>6.176471</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>lose</td>\n",
       "      <td>17</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>130.631579</td>\n",
       "      <td>0.263158</td>\n",
       "      <td>6.315789</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>win</td>\n",
       "      <td>18</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>182</td>\n",
       "      <td>6</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>141.526316</td>\n",
       "      <td>0.473684</td>\n",
       "      <td>5.842105</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>win</td>\n",
       "      <td>19</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>160</td>\n",
       "      <td>8</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>140.894737</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>5.684211</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>win</td>\n",
       "      <td>20</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>152</td>\n",
       "      <td>6</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>no</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>no</td>\n",
       "      <td>143.333333</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>5.428571</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>win</td>\n",
       "      <td>21</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>189</td>\n",
       "      <td>4</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>yes</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>147.473684</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>5.631579</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>lose</td>\n",
       "      <td>22</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>119</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>141.850000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>win</td>\n",
       "      <td>23</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>181</td>\n",
       "      <td>6</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>143.550000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>5.850000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>win</td>\n",
       "      <td>24</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>160</td>\n",
       "      <td>6</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>no</td>\n",
       "      <td>145.842105</td>\n",
       "      <td>0.368421</td>\n",
       "      <td>6.105263</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>win</td>\n",
       "      <td>25</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>162</td>\n",
       "      <td>6</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>yes</td>\n",
       "      <td>Trent Bridge, Nottingham Nottingham</td>\n",
       "      <td>no</td>\n",
       "      <td>144.913043</td>\n",
       "      <td>0.608696</td>\n",
       "      <td>5.434783</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>win</td>\n",
       "      <td>26</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>139</td>\n",
       "      <td>7</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>no</td>\n",
       "      <td>The Rose Bowl, Southampton Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>149.550000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>5.550000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>win</td>\n",
       "      <td>27</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>164</td>\n",
       "      <td>6</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>yes</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>yes</td>\n",
       "      <td>145.333333</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>5.857143</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>lose</td>\n",
       "      <td>28</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>109</td>\n",
       "      <td>9</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>no</td>\n",
       "      <td>Sophia Gardens, Cardiff Cardiff</td>\n",
       "      <td>yes</td>\n",
       "      <td>146.550000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>lose</td>\n",
       "      <td>29</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>148</td>\n",
       "      <td>7</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Trent Rockets</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>145.625000</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>5.458333</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>lose</td>\n",
       "      <td>30</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>158</td>\n",
       "      <td>7</td>\n",
       "      <td>Welsh Fire</td>\n",
       "      <td>Northern Superchargers</td>\n",
       "      <td>yes</td>\n",
       "      <td>Headingley, Leeds Leeds</td>\n",
       "      <td>yes</td>\n",
       "      <td>150.619048</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>5.904762</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>lose</td>\n",
       "      <td>31</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>130</td>\n",
       "      <td>8</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>yes</td>\n",
       "      <td>Old Trafford, Manchester Manchester</td>\n",
       "      <td>no</td>\n",
       "      <td>146.181818</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>5.863636</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>win</td>\n",
       "      <td>32</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>180</td>\n",
       "      <td>5</td>\n",
       "      <td>Birmingham Phoenix</td>\n",
       "      <td>London Spirit</td>\n",
       "      <td>yes</td>\n",
       "      <td>Edgbaston, Birmingham Birmingham</td>\n",
       "      <td>no</td>\n",
       "      <td>139.636364</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>6.045455</td>\n",
       "      <td>lose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>lose</td>\n",
       "      <td>40</td>\n",
       "      <td>Southern Brave</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>196</td>\n",
       "      <td>1</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Kennington Oval, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>131.625000</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>5.208333</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>win</td>\n",
       "      <td>50</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>male</td>\n",
       "      <td>2023</td>\n",
       "      <td>161</td>\n",
       "      <td>5</td>\n",
       "      <td>Oval Invincibles</td>\n",
       "      <td>Manchester Originals</td>\n",
       "      <td>no</td>\n",
       "      <td>Lord's, London London</td>\n",
       "      <td>yes</td>\n",
       "      <td>149.136364</td>\n",
       "      <td>0.636364</td>\n",
       "      <td>5.590909</td>\n",
       "      <td>win</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Result  match_number                    team                opponent  \\\n",
       "0     win             1          Southern Brave           Trent Rockets   \n",
       "1    lose             4      Birmingham Phoenix  Northern Superchargers   \n",
       "2     win             5              Welsh Fire          Southern Brave   \n",
       "3    lose             8  Northern Superchargers          Southern Brave   \n",
       "4    lose             9        Oval Invincibles              Welsh Fire   \n",
       "5    lose            10      Birmingham Phoenix    Manchester Originals   \n",
       "6    lose            11           London Spirit          Southern Brave   \n",
       "7     win            12  Northern Superchargers           Trent Rockets   \n",
       "8     win            13        Oval Invincibles    Manchester Originals   \n",
       "9     win            14              Welsh Fire      Birmingham Phoenix   \n",
       "10    win            15  Northern Superchargers        Oval Invincibles   \n",
       "11   lose            16           London Spirit           Trent Rockets   \n",
       "12   lose            17              Welsh Fire          Southern Brave   \n",
       "13    win            18  Northern Superchargers    Manchester Originals   \n",
       "14    win            19        Oval Invincibles      Birmingham Phoenix   \n",
       "15    win            20              Welsh Fire           Trent Rockets   \n",
       "16    win            21           London Spirit        Oval Invincibles   \n",
       "17    win            22          Southern Brave      Birmingham Phoenix   \n",
       "18   lose            23    Manchester Originals           Trent Rockets   \n",
       "19   lose            24           London Spirit  Northern Superchargers   \n",
       "20    win            25           Trent Rockets      Birmingham Phoenix   \n",
       "21   lose            26        Oval Invincibles          Southern Brave   \n",
       "22   lose            27  Northern Superchargers    Manchester Originals   \n",
       "23    win            28              Welsh Fire           London Spirit   \n",
       "24    win            29        Oval Invincibles           Trent Rockets   \n",
       "25    win            30  Northern Superchargers              Welsh Fire   \n",
       "26   lose            31    Manchester Originals          Southern Brave   \n",
       "27    win            32           London Spirit      Birmingham Phoenix   \n",
       "28    win            50          Southern Brave  Northern Superchargers   \n",
       "29    win             1           Trent Rockets          Southern Brave   \n",
       "30    win             2              Welsh Fire    Manchester Originals   \n",
       "31   lose             3           London Spirit        Oval Invincibles   \n",
       "32    win             5          Southern Brave              Welsh Fire   \n",
       "33    win             8  Northern Superchargers          Southern Brave   \n",
       "34    win            10    Manchester Originals      Birmingham Phoenix   \n",
       "35    win            12  Northern Superchargers           Trent Rockets   \n",
       "36    win            13        Oval Invincibles    Manchester Originals   \n",
       "37   lose            14      Birmingham Phoenix              Welsh Fire   \n",
       "38    win            15        Oval Invincibles  Northern Superchargers   \n",
       "39    win            16           London Spirit           Trent Rockets   \n",
       "40   lose            17              Welsh Fire          Southern Brave   \n",
       "41    win            18    Manchester Originals  Northern Superchargers   \n",
       "42    win            19      Birmingham Phoenix        Oval Invincibles   \n",
       "43    win            20           Trent Rockets              Welsh Fire   \n",
       "44    win            21        Oval Invincibles           London Spirit   \n",
       "45   lose            22      Birmingham Phoenix          Southern Brave   \n",
       "46    win            23    Manchester Originals           Trent Rockets   \n",
       "47    win            24           London Spirit  Northern Superchargers   \n",
       "48    win            25           Trent Rockets      Birmingham Phoenix   \n",
       "49    win            26        Oval Invincibles          Southern Brave   \n",
       "50    win            27    Manchester Originals  Northern Superchargers   \n",
       "51   lose            28           London Spirit              Welsh Fire   \n",
       "52   lose            29           Trent Rockets        Oval Invincibles   \n",
       "53   lose            30  Northern Superchargers              Welsh Fire   \n",
       "54   lose            31    Manchester Originals          Southern Brave   \n",
       "55    win            32      Birmingham Phoenix           London Spirit   \n",
       "56   lose            40          Southern Brave    Manchester Originals   \n",
       "57    win            50        Oval Invincibles    Manchester Originals   \n",
       "\n",
       "    gender  season  team_score  team_wickets                  winner  \\\n",
       "0   female    2023         157             6          Southern Brave   \n",
       "1   female    2023         110             8  Northern Superchargers   \n",
       "2   female    2023         165             3              Welsh Fire   \n",
       "3   female    2023         100             8          Southern Brave   \n",
       "4   female    2023          80             0              Welsh Fire   \n",
       "5   female    2023          87             0    Manchester Originals   \n",
       "6   female    2023         104             5          Southern Brave   \n",
       "7   female    2023         134             4  Northern Superchargers   \n",
       "8   female    2023         128             7        Oval Invincibles   \n",
       "9   female    2023         137             7              Welsh Fire   \n",
       "10  female    2023         143             4  Northern Superchargers   \n",
       "11  female    2023         124             4           Trent Rockets   \n",
       "12  female    2023         144             5          Southern Brave   \n",
       "13  female    2023         133             5  Northern Superchargers   \n",
       "14  female    2023         142             5        Oval Invincibles   \n",
       "15  female    2023         181             3              Welsh Fire   \n",
       "16  female    2023         118             9           London Spirit   \n",
       "17  female    2023         132             4          Southern Brave   \n",
       "18  female    2023         107             5           Trent Rockets   \n",
       "19  female    2023         135             7  Northern Superchargers   \n",
       "20  female    2023         134             6           Trent Rockets   \n",
       "21  female    2023         130             6          Southern Brave   \n",
       "22  female    2023         107             8    Manchester Originals   \n",
       "23  female    2023         161             4              Welsh Fire   \n",
       "24  female    2023         156             6        Oval Invincibles   \n",
       "25  female    2023         144             4  Northern Superchargers   \n",
       "26  female    2023         118             4          Southern Brave   \n",
       "27  female    2023         172             5           London Spirit   \n",
       "28  female    2023         139             6          Southern Brave   \n",
       "29    male    2023         133             8           Trent Rockets   \n",
       "30    male    2023          94             3              Welsh Fire   \n",
       "31    male    2023         131             0        Oval Invincibles   \n",
       "32    male    2023         147             8          Southern Brave   \n",
       "33    male    2023         201             3  Northern Superchargers   \n",
       "34    male    2023         160             8    Manchester Originals   \n",
       "35    male    2023         142             5  Northern Superchargers   \n",
       "36    male    2023         186             5        Oval Invincibles   \n",
       "37    male    2023         112             7              Welsh Fire   \n",
       "38    male    2023         185             5        Oval Invincibles   \n",
       "39    male    2023         195             4           London Spirit   \n",
       "40    male    2023          87             0          Southern Brave   \n",
       "41    male    2023         182             6    Manchester Originals   \n",
       "42    male    2023         160             8      Birmingham Phoenix   \n",
       "43    male    2023         152             6           Trent Rockets   \n",
       "44    male    2023         189             4        Oval Invincibles   \n",
       "45    male    2023         119             8          Southern Brave   \n",
       "46    male    2023         181             6    Manchester Originals   \n",
       "47    male    2023         160             6           London Spirit   \n",
       "48    male    2023         162             6           Trent Rockets   \n",
       "49    male    2023         139             7        Oval Invincibles   \n",
       "50    male    2023         164             6    Manchester Originals   \n",
       "51    male    2023         109             9              Welsh Fire   \n",
       "52    male    2023         148             7        Oval Invincibles   \n",
       "53    male    2023         158             7              Welsh Fire   \n",
       "54    male    2023         130             8          Southern Brave   \n",
       "55    male    2023         180             5      Birmingham Phoenix   \n",
       "56    male    2023         196             1    Manchester Originals   \n",
       "57    male    2023         161             5        Oval Invincibles   \n",
       "\n",
       "               toss_winner home_advantage  \\\n",
       "0            Trent Rockets             no   \n",
       "1   Northern Superchargers             no   \n",
       "2           Southern Brave             no   \n",
       "3           Southern Brave             no   \n",
       "4               Welsh Fire            yes   \n",
       "5     Manchester Originals             no   \n",
       "6           Southern Brave            yes   \n",
       "7   Northern Superchargers             no   \n",
       "8     Manchester Originals            yes   \n",
       "9       Birmingham Phoenix             no   \n",
       "10  Northern Superchargers            yes   \n",
       "11           Trent Rockets            yes   \n",
       "12          Southern Brave            yes   \n",
       "13  Northern Superchargers            yes   \n",
       "14      Birmingham Phoenix             no   \n",
       "15              Welsh Fire            yes   \n",
       "16        Oval Invincibles             no   \n",
       "17          Southern Brave            yes   \n",
       "18    Manchester Originals             no   \n",
       "19  Northern Superchargers            yes   \n",
       "20           Trent Rockets            yes   \n",
       "21        Oval Invincibles             no   \n",
       "22  Northern Superchargers             no   \n",
       "23           London Spirit            yes   \n",
       "24        Oval Invincibles            yes   \n",
       "25  Northern Superchargers            yes   \n",
       "26          Southern Brave            yes   \n",
       "27      Birmingham Phoenix             no   \n",
       "28  Northern Superchargers             no   \n",
       "29          Southern Brave            yes   \n",
       "30    Manchester Originals            yes   \n",
       "31        Oval Invincibles            yes   \n",
       "32              Welsh Fire            yes   \n",
       "33          Southern Brave             no   \n",
       "34      Birmingham Phoenix            yes   \n",
       "35           Trent Rockets             no   \n",
       "36    Manchester Originals            yes   \n",
       "37      Birmingham Phoenix            yes   \n",
       "38        Oval Invincibles             no   \n",
       "39           Trent Rockets            yes   \n",
       "40          Southern Brave            yes   \n",
       "41    Manchester Originals             no   \n",
       "42        Oval Invincibles            yes   \n",
       "43              Welsh Fire             no   \n",
       "44        Oval Invincibles            yes   \n",
       "45      Birmingham Phoenix             no   \n",
       "46           Trent Rockets             no   \n",
       "47  Northern Superchargers            yes   \n",
       "48      Birmingham Phoenix            yes   \n",
       "49        Oval Invincibles             no   \n",
       "50    Manchester Originals            yes   \n",
       "51           London Spirit             no   \n",
       "52           Trent Rockets             no   \n",
       "53  Northern Superchargers            yes   \n",
       "54          Southern Brave            yes   \n",
       "55           London Spirit            yes   \n",
       "56    Manchester Originals             no   \n",
       "57    Manchester Originals             no   \n",
       "\n",
       "                                venue_city choose_to_bat   avg_score  \\\n",
       "0      Trent Bridge, Nottingham Nottingham            no  121.941176   \n",
       "1                  Headingley, Leeds Leeds            no  124.533333   \n",
       "2   The Rose Bowl, Southampton Southampton            no  118.857143   \n",
       "3   The Rose Bowl, Southampton Southampton            no  128.428571   \n",
       "4           Kennington Oval, London London            no  118.437500   \n",
       "5      Old Trafford, Manchester Manchester            no  123.625000   \n",
       "6                    Lord's, London London            no  115.714286   \n",
       "7      Trent Bridge, Nottingham Nottingham           yes  126.533333   \n",
       "8           Kennington Oval, London London            no  116.176471   \n",
       "9         Edgbaston, Birmingham Birmingham            no  119.375000   \n",
       "10                 Headingley, Leeds Leeds           yes  127.000000   \n",
       "11                   Lord's, London London            no  114.933333   \n",
       "12         Sophia Gardens, Cardiff Cardiff            no  120.411765   \n",
       "13                 Headingley, Leeds Leeds           yes  127.941176   \n",
       "14        Edgbaston, Birmingham Birmingham            no  117.473684   \n",
       "15         Sophia Gardens, Cardiff Cardiff           yes  121.722222   \n",
       "16          Kennington Oval, London London            no  115.500000   \n",
       "17  The Rose Bowl, Southampton Southampton           yes  124.818182   \n",
       "18     Trent Bridge, Nottingham Nottingham           yes  119.812500   \n",
       "19                   Lord's, London London            no  115.647059   \n",
       "20     Trent Bridge, Nottingham Nottingham           yes  122.157895   \n",
       "21  The Rose Bowl, Southampton Southampton           yes  117.666667   \n",
       "22     Old Trafford, Manchester Manchester           yes  128.631579   \n",
       "23         Sophia Gardens, Cardiff Cardiff            no  124.842105   \n",
       "24          Kennington Oval, London London           yes  118.227273   \n",
       "25                 Headingley, Leeds Leeds           yes  127.550000   \n",
       "26     Old Trafford, Manchester Manchester            no  118.444444   \n",
       "27        Edgbaston, Birmingham Birmingham            no  117.842105   \n",
       "28                   Lord's, London London           yes  125.240000   \n",
       "29     Trent Bridge, Nottingham Nottingham            no  141.388889   \n",
       "30         Sophia Gardens, Cardiff Cardiff            no  132.937500   \n",
       "31                   Lord's, London London            no  141.125000   \n",
       "32  The Rose Bowl, Southampton Southampton            no  133.055556   \n",
       "33  The Rose Bowl, Southampton Southampton            no  151.533333   \n",
       "34     Old Trafford, Manchester Manchester            no  143.352941   \n",
       "35     Trent Bridge, Nottingham Nottingham            no  154.625000   \n",
       "36          Kennington Oval, London London            no  144.500000   \n",
       "37        Edgbaston, Birmingham Birmingham           yes  142.500000   \n",
       "38                 Headingley, Leeds Leeds           yes  146.941176   \n",
       "39                   Lord's, London London            no  140.529412   \n",
       "40         Sophia Gardens, Cardiff Cardiff            no  130.631579   \n",
       "41                 Headingley, Leeds Leeds           yes  141.526316   \n",
       "42        Edgbaston, Birmingham Birmingham            no  140.894737   \n",
       "43         Sophia Gardens, Cardiff Cardiff            no  143.333333   \n",
       "44          Kennington Oval, London London           yes  147.473684   \n",
       "45  The Rose Bowl, Southampton Southampton           yes  141.850000   \n",
       "46     Trent Bridge, Nottingham Nottingham            no  143.550000   \n",
       "47                   Lord's, London London            no  145.842105   \n",
       "48     Trent Bridge, Nottingham Nottingham            no  144.913043   \n",
       "49  The Rose Bowl, Southampton Southampton           yes  149.550000   \n",
       "50     Old Trafford, Manchester Manchester           yes  145.333333   \n",
       "51         Sophia Gardens, Cardiff Cardiff           yes  146.550000   \n",
       "52          Kennington Oval, London London           yes  145.625000   \n",
       "53                 Headingley, Leeds Leeds           yes  150.619048   \n",
       "54     Old Trafford, Manchester Manchester            no  146.181818   \n",
       "55        Edgbaston, Birmingham Birmingham            no  139.636364   \n",
       "56          Kennington Oval, London London           yes  131.625000   \n",
       "57                   Lord's, London London           yes  149.136364   \n",
       "\n",
       "    avg_win_rate  avg_wickets_out last_match_result  \n",
       "0       0.764706         5.000000              lose  \n",
       "1       0.466667         6.400000              lose  \n",
       "2       0.214286         6.785714              lose  \n",
       "3       0.500000         5.000000               win  \n",
       "4       0.750000         4.687500               win  \n",
       "5       0.437500         6.500000              lose  \n",
       "6       0.428571         6.142857               win  \n",
       "7       0.466667         5.200000              lose  \n",
       "8       0.705882         4.411765              lose  \n",
       "9       0.312500         6.562500               win  \n",
       "10      0.500000         5.125000               win  \n",
       "11      0.400000         6.066667              lose  \n",
       "12      0.352941         6.588235               win  \n",
       "13      0.529412         5.058824               win  \n",
       "14      0.684211         4.578947              lose  \n",
       "15      0.333333         6.500000              lose  \n",
       "16      0.375000         5.937500              lose  \n",
       "17      0.772727         5.136364               win  \n",
       "18      0.375000         5.312500              lose  \n",
       "19      0.411765         6.117647               win  \n",
       "20      0.421053         5.789474               win  \n",
       "21      0.666667         4.380952              lose  \n",
       "22      0.578947         5.105263               win  \n",
       "23      0.368421         6.315789               win  \n",
       "24      0.636364         4.454545              lose  \n",
       "25      0.550000         5.250000              lose  \n",
       "26      0.388889         5.388889               win  \n",
       "27      0.368421         6.210526              lose  \n",
       "28      0.800000         4.880000               win  \n",
       "29      0.666667         5.222222               win  \n",
       "30      0.187500         6.625000              lose  \n",
       "31      0.375000         6.562500              lose  \n",
       "32      0.555556         5.222222              lose  \n",
       "33      0.466667         6.133333               win  \n",
       "34      0.470588         6.058824              lose  \n",
       "35      0.500000         5.937500               win  \n",
       "36      0.562500         6.062500               win  \n",
       "37      0.611111         5.611111              lose  \n",
       "38      0.588235         6.000000               win  \n",
       "39      0.352941         6.176471              lose  \n",
       "40      0.263158         6.315789               win  \n",
       "41      0.473684         5.842105              lose  \n",
       "42      0.578947         5.684211              lose  \n",
       "43      0.619048         5.428571              lose  \n",
       "44      0.578947         5.631579              lose  \n",
       "45      0.600000         5.800000               win  \n",
       "46      0.500000         5.850000               win  \n",
       "47      0.368421         6.105263              lose  \n",
       "48      0.608696         5.434783              lose  \n",
       "49      0.600000         5.550000               win  \n",
       "50      0.523810         5.857143               win  \n",
       "51      0.400000         6.100000               win  \n",
       "52      0.625000         5.458333               win  \n",
       "53      0.428571         5.904762              lose  \n",
       "54      0.545455         5.863636               win  \n",
       "55      0.545455         6.045455              lose  \n",
       "56      0.583333         5.208333               win  \n",
       "57      0.636364         5.590909               win  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2023 = pd.read_csv('/Users/quinne/Desktop/dissertation_dataset/prediction_set_halftime_model.csv')\n",
    "df_2023"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "68f75f18",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Result'] = df['Result'].apply(lambda x: 1 if x == 'win' else 0)\n",
    "df_2023['Result'] = df_2023['Result'].apply(lambda x: 1 if x == 'win' else 0)\n",
    "\n",
    "# Splitting the data into X (features) and y (target)\n",
    "X = df.drop(columns=['Result'])\n",
    "y = df['Result']\n",
    "\n",
    "X_new_season = df_2023.drop(columns=['Result'])\n",
    "y_new_season = df_2023['Result']\n",
    "\n",
    "# List of categorical features\n",
    "cat_features = [\n",
    "    'team', 'opponent', 'gender', 'home_advantage', 'venue_city', \n",
    "    'toss_winner', 'winner', 'choose_to_bat', 'last_match_result'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "dc9af1a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Predicted Probabilities for CatBoost in 2023 new season:\n",
      "[9.99873313e-01 2.91172163e-04 9.94901120e-01 1.68405516e-04\n",
      " 6.21736060e-02 1.39535067e-04 6.76250704e-05 9.99858911e-01\n",
      " 9.99866448e-01 9.94004829e-01 9.99896372e-01 1.78352368e-04\n",
      " 3.73474628e-04 9.99916770e-01 9.99879279e-01 9.96695875e-01\n",
      " 9.97757429e-01 9.99863424e-01 1.70106626e-04 2.55058565e-04\n",
      " 9.99846075e-01 1.89851911e-04 1.39255151e-04 9.95288568e-01\n",
      " 9.99919169e-01 9.99538817e-01 1.54404731e-04 9.99523367e-01\n",
      " 9.99847792e-01 9.99822840e-01 9.79911476e-01 6.52119067e-04\n",
      " 9.99235981e-01 9.99730012e-01 9.99683896e-01 9.99831839e-01\n",
      " 9.99902891e-01 5.86130370e-03 9.99916323e-01 9.99466643e-01\n",
      " 1.97425341e-04 9.99824248e-01 9.99857766e-01 9.99712627e-01\n",
      " 9.99904339e-01 1.12800641e-04 9.99888293e-01 9.99600322e-01\n",
      " 9.99921143e-01 9.99770402e-01 9.99883906e-01 5.81304591e-03\n",
      " 2.07600108e-04 7.81762901e-03 1.41463976e-04 9.99884482e-01\n",
      " 4.57655394e-04 9.99951311e-01]\n"
     ]
    }
   ],
   "source": [
    "#Best parameters for CatBoost:  {'depth': 5, 'l2_leaf_reg': 1, 'iterations': 1000, 'learning_rate': 0.1}\n",
    "\n",
    "model = CatBoostClassifier(\n",
    "    depth=5, \n",
    "    l2_leaf_reg=1, \n",
    "    iterations=1000, \n",
    "    learning_rate=0.1,\n",
    "    cat_features=cat_features,\n",
    "    verbose=0  \n",
    ")\n",
    "model.fit(X, y)\n",
    "\n",
    "y_prob_new_season_catboost = model.predict_proba(X_new_season)[:, 1]\n",
    "y_pred_new_season_catboost = (y_prob_new_season_catboost > 0.5).astype(int)\n",
    "\n",
    "print(\"\\nPredicted Probabilities for CatBoost in 2023 new season:\")\n",
    "print(y_prob_new_season_catboost)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "5b0fd2b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0,\n",
       "       0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1,\n",
       "       1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1])"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred_new_season_catboost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "4f53090c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:\t1.000000\n",
      "F1-score:\t1.000000\n",
      "Precision:\t1.000000\n",
      "Recall:\t\t1.000000\n",
      "\n",
      "Classification performance:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00        21\n",
      "           1       1.00      1.00      1.00        37\n",
      "\n",
      "    accuracy                           1.00        58\n",
      "   macro avg       1.00      1.00      1.00        58\n",
      "weighted avg       1.00      1.00      1.00        58\n",
      "\n"
     ]
    }
   ],
   "source": [
    "mat_catboost = confusion_matrix(y_new_season, y_pred_new_season_catboost)\n",
    "sns.heatmap(mat_catboost.T, square=True, annot=True, fmt='d', cmap='RdPu')\n",
    "plt.xlabel('True label')\n",
    "plt.ylabel('Predicted label')\n",
    "plt.title(\"CatBoost\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Accuracy:\\t%f\" % accuracy_score(y_new_season, y_pred_new_season_catboost))\n",
    "print(\"F1-score:\\t%f\" % f1_score(y_new_season, y_pred_new_season_catboost))\n",
    "print(\"Precision:\\t%f\" % precision_score(y_new_season, y_pred_new_season_catboost))\n",
    "print(\"Recall:\\t\\t%f\" % recall_score(y_new_season, y_pred_new_season_catboost))\n",
    "print(\"\\nClassification performance:\\n%s\" % classification_report(y_new_season, y_pred_new_season_catboost))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}