lila VS D3-Chess

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> the player who committed more blunders lost 86% of the time

In some sense this is almost tautological. While finding an exact definition for a chess blunder isn't straightforward, here is one example from the Lichess UI:

https://github.com/lichess-org/lila/blob/b527746b179cdde6438...

Basically, if you make a move which decreases your winning probability more than 14% over the best move, that's a blunder. But winning probability is a nonlinear function of stockfish centipawns. A drop in 100 centipawns when you're up 15 points isn't a blunder. When the game was equal, it is.

Point is, by the time you know it's a blunder you already know something about the outcome of that move, that it swung the winning probability by more than 14%. So the analysis is kind of just measuring some function of winning probability and saying that it is highly correlated with winning probability.

If you want to improve make it your goal to play the best chess you can, not increase an arbitrary number. Watch YouTube series like John Bartholomew's "Climb the Rating Ladder" for some general insight into what you might be doing wrong. Read Irving Chernev's "Logical Chess: Move By Move" to see the thinking process of high level players. Do lots of puzzles (I like lichess.org for puzzles). And always analyze your games. When you analyze make it your goal to find at least two things you could have improved.

The easiest way to play against Stockfish is perhaps on https://lichess.org/, but it's not the only chess engine that evaluates positions with a neural network.

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Is it, though? Checking for a mate can be very difficult for humans in some positions and tools like https://chasolver.org/ exist, making it reasonably easy for computers. The chess websites just haven't implemented it yet.

Here is a project on github that aims to solve this exact problem, determining when a game cannot be won by a given side. The algorithm appears to be completely accurate, terminating either when it finds a helpmate or when it is certain that a position is unwinnable, but their FAQ says that while it does well on every known position in the lichess games database, it could be very slow on some highly artificial positions.

Actually, since few months ago, there is: https://github.com/miguel-ambrona/D3-Chess

Of course, somebody eventually made a project to find all of these games and created the Chess Unwinnability Analyzer (known as CHA):

Anyway, here's a helpmate solver that could be implemented into Lichess.

For all we know the cost to implement this could be negligible, or not. I would lean not considering someone has made a software that can process positions in an average of 5 microseconds. CHA

There is a project to try to solve this, it's a very interesting problem. https://github.com/miguel-ambrona/D3-Chess

According to this: https://github.com/miguel-ambrona/D3-Chess