Rookie
A friendly, inexperienced opponent who makes occasional mistakes and gives newer players room to learn.
- Games
- 0
- Wins
- 0
- Losses
- 0
- Captures
- 0
- Kings
- 0
Version 1 · Browser-run games are unranked
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THE BOT ARENA
Meet Our Checkers Bots
Six unique AI opponents with different personalities, strategies and playing styles. Each bot has its own match history and recorded statistics.
The bot roster
Choose a personality to face on the main game board. Each bot uses the same English checkers rules, but with different search depth, positional preferences and style.
Scarlet
An attacking player who likes to push forward, chase captures and fight for promotion opportunities.
- Games
- 1
- Wins
- 1
- Losses
- 0
- Captures
- 12
- Kings
- 3
Version 1 · Browser-run games are unranked
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Professor
A patient, defensive opponent who prefers protecting pieces, controlling the centre and building formations.
- Games
- 0
- Wins
- 0
- Losses
- 0
- Captures
- 0
- Kings
- 0
Version 1 · Browser-run games are unranked
Play now →
Vex
A tactical challenger who sets traps, pressures positions and looks for forcing exchanges.
- Games
- 0
- Wins
- 0
- Losses
- 0
- Captures
- 0
- Kings
- 0
Version 1 · Browser-run games are unranked
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Magnus
A deeper-thinking positional player with strong endgame instincts and disciplined planning.
- Games
- 1
- Wins
- 0
- Losses
- 1
- Captures
- 8
- Kings
- 1
Version 1 · Browser-run games are unranked
Play now →
Oracle
Our strongest current opponent, combining deeper search with balanced tactical and positional judgement.
- Games
- 0
- Wins
- 0
- Losses
- 0
- Captures
- 0
- Kings
- 0
Version 1 · Browser-run games are unranked
Play now →
Do the bots learn?
Not automatically yet. This phase introduces named, versioned bot identities and tracks their results over time. Recorded matches help prepare for future learning systems, opening books and controlled bot evolution.