10.000 Chess Games With Centipawn Loss
Can Data Prove Cheating in Chess?
@kaggle.tompaulat_10000_chess_games_with_centipawn_loss
Can Data Prove Cheating in Chess?
@kaggle.tompaulat_10000_chess_games_with_centipawn_loss
The data is an updated .csv file of the initially provided data set https://github.com/rafaelvleite/centipawn_loss_calculator/commits?author=rafaelvleite.
The data includes a.o. date, names of players, accuracy score (centi pawn loss).
CREATE TABLE n_10480_games_with_centipawn_metrics (
"unnamed_0" VARCHAR -- Unnamed: 0,
"date" VARCHAR,
"event_name" VARCHAR,
"event_rounds" VARCHAR,
"round" VARCHAR,
"white_name" VARCHAR,
"black_name" VARCHAR,
"result" VARCHAR,
"white_elo" DOUBLE,
"black_elo" DOUBLE,
"moves" DOUBLE,
"white_av_cp_loss" DOUBLE,
"black_av_cp_loss" DOUBLE,
"evaluations_list" VARCHAR,
"white_cp_loss_list" VARCHAR,
"black_cp_loss_list" VARCHAR,
"pgn" VARCHAR,
"analysis_depth" DOUBLE,
"white_expected_rating_by_acpl" DOUBLE,
"black_expected_rating_by_acpl" DOUBLE
);Anyone who has the link will be able to view this.