Detecting a stockfish moves over enough sample size is easy sure, but detecting a engine which is designed to imitate human play not make the best move everytime is not easy with number of moves a human would play in their lifetime.
The original commenter say it’s easy to cheat at chess. While potentially possible, I wouldn’t consider building a ML model to mimic your own play an ‘easy’ cheat method.
I’d also say building a model to mimic your own play consistently would be incredibly difficult. But, that’s for a different conversation.
The point is cheating is bigger concern in online chess than other eSports
Anyway, I don’t think we’re disagreeing on chess cheating. For me, the small chance someone is cheating doesn’t ruin the esport for me - For you it does, which is a perfectly reasonable response to it.
Secondary thought in the engine idea you had - chess fraud detection, I imagine, goes well beyond just the engine and move likeliness. It will also human-like interaction (Can’t confirm this, but the PM in me has me consumed with thinking about solutions to this problem)
When people play a chess game online, they are frequently evaluating positions. This results in cursor/mouse behavior that’s sporadic. If a user is considering moving the queen, they’ll move their cursor over to it. A user relying on an engine for every move would interact with the board in a very precise manner.
A player with a perfect engine to mimic humans will still get caught as their interaction with the board would differ greatly because only one position is considered for each move.