Tic-Tac-Pong is a Player vs. Computer game for the GameBoy Advance. It combines the classic video game Pong with the pen-and-paper game Tic-Tac-Toe.
Objective: Place 3 cyan X's in a row on the Tic-Tac-Toe board before the AI get 3 magenta O's in a row.
- The player and the AI use their paddles to hit the pong back and forth.
- Each you hit the pong with your paddle, it adds energy to your battery battery.
- If you miss the pong and it hits the wall, your battery will lose a little power.
- When your battery is full, you can press
A
to charge your paddle. - When you hit the pong with a charged paddle, the pong will speed up and become charged.
- When the charged pong passes thru a spot on the Tic-Tac-Toe board, it will place a mark there for the last player to hit it.
- If the charged pong hits a wall twice in a row, it loses its charge and slows back down.
- Get three of your marks in a row to win!
If either player manages to get three of their marks in a row on the board, they win immediately. If all the spaces on the board are captured, and neither player has three marks in a row, the player with the most marks on the board wins. Each player's total is displayed in the lower corner of the screen.
BUTTON | ACTION |
---|---|
START |
Begin the game |
UP and DOWN |
Move the player's paddle up and down the screen |
A |
Use the player's accumulated energy to charge their paddle |
Hold SELECT |
Return to the title screen |
Difficulty | Description |
---|---|
Trivial | Not even a challenge. The AI will almost always miss the pong. |
Easy | An easier experience. The AI is more likely to miss the pong, and takes longer to make decisions. |
Normal | A medium challenge. Recommended for new players. |
Hard | Above average difficulty. Provides a little extra challenge, with a more skilled AI. |
Expert | Near perfect AI. It will rarely miss. |
For information on the game's development environment, see the accompanying file dev-readme.md
Recommended configuration for the Mednafen emulator is included in Tic-Tac-Pong.gba.cfg
Mitchell Philipp (he/they): [email protected]
Github: MGPAlpha