The attached article discusses in detail the rating system that won the Kaggle competition “Chess Ratings: Elo vs the rest of the world”. The competition provided a historical dataset of outcomes for chess games, and aimed to discover whether novel approaches can predict the outcomes of future games, more accurately than the well-known Elo rating system. The major component of the winning system is a regularization technique that avoids overfitting.


Originally published at on February 9, 2011.

How I did it: Yannis Sismanis on Winning the first Elo Chess Ratings Competition was originally published in Kaggle Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.

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