> The average centipawn loss shows a very slight advantage (less than 1 centipawn) for Gukesh. This connects well with the accuracy metric we got, which showed

> The average centipawn loss shows a very slight advantage (less than 1 centipawn) for Gukesh. This connects well with the accuracy metric we got, which showed a negligible advantage for Gukesh. As I understand, for average centipawn loss, lower is better. It kind of measures how much worse a player’s average moves are compared to the best moves suggested by the engine. Based on your data, Ding has a very slight advantage, not Gukesh. Here is an article from chess.com (https://www.chess.com/blog/raync910/average-centipawn-loss-chess-acpl https://www.chess.com/blog/raync910/average-centipawn-loss-c...): > The term average centipawn loss (ACPL) represents how much “value” a player drops by making incorrect moves during a chess game. ..... The lower an ACPL that player has, the more perfectly they played (at least in the eyes of the engine assessing the game).