Play chess against a 1000-rated computer

A 1000 player follows the opening principles and spots one-move threats, but loses track in sharp positions and makes the occasional big blunder under pressure.

79

average loss per move (centipawns)

5

big blunders per 100 moves

3.7s

average think, 10-minute game

3

moves it looks ahead

For comparison, real Chess.com rapid players around 1000 lose about 77 centipawns per move (measured on their own games, the same way). The bot is Club Regular Sam (1000): see how the bots are built.

You play regularly, know the opening principles and want an opponent who punishes careless moves.

1. 1Create two threats at once: it can usually see only one.
2. 2Play the opening calmly and reach a middlegame with all pieces developed.
3. 3Check every capture to the end of the sequence before you trade.

Measured on 41 Chess.com players' public games, November 2026.

We picked random public Chess.com players rated 400 to 2000 and took their 5 most recent rapid games. Stockfish scored every move they played from move 5 on, comparing it with the best move, and we averaged the loss per move. We fitted a smooth trend through all the players so no single game sways a rating, then ran our bots through exactly the same measurement.

Correction: our first version used textbook reference values that overstated human mistakes; the bots are now tuned to these measured numbers.