Bad chess. Good results. Compiled from several billion regrettable decisions.
Open · Modern variation
The engine already knows how to defend. Your opponent is called rookEnjoyer94.
Masters, Mortals, and Noobs make different mistakes. We weight every reply by what that rating pool actually plays—not by what an engine demands.
On your turns, the Almanac commits to one learned move. On theirs, it keeps the messy human reply distribution. One burgundy arrow is your move; several arrows are their habits.
Expected Score asks what happens if you know our theory and they keep being human. It is not “+0.2 after perfect play.”
We replay the position against what your chosen population actually does next, then score the resulting wins, draws, and losses. On your turn we recommend; on theirs we forecast.
Every result comes from real games in the selected rating pool. A draw is zero; a win and a loss pull equally in opposite directions.
We also price the worst plausible slice of outcomes. This is why one rare disaster does not veto a move, but a reliably miserable position does.
At 0% we chase the best average. At 100% we heavily favor moves whose bad outcomes are less spiritually expensive.
Not engine truth: this ranks moves for the humans you selected. Stockfish has infinite patience; your opponent has three minutes and a pulse.