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Observational Analysis of Mistakes in Chess Initiation, Using Decision Trees Cover

Observational Analysis of Mistakes in Chess Initiation, Using Decision Trees

Open Access
|Jul 2025

Abstract

From the observational methodology approach, this study analyses definitive errors or losing blunders, i.e. errors that result in the loss of the game, in elite players at U8 level. An ad hoc observation instrument has been designed as a combination of field format and category systems, based on a thorough theoretical review of the internal logic of chess. The games were compiled in the ChessBase 17 program and analysed using Stockfish 16 NNUE via https://lichess.org/es. The moment in the game when the error occurs is extracted and recorded and coded using Lince software. The reliability of the records from the observation system developed was guaranteed by interobserver agreement, calculated using Cohen’s Kappa coefficient. This paper’s objective is achieved by means of the decision tree analysis technique, obtained using the CHAID procedure, taking the “impact of the error” as the predicted dimension. The results obtained have allowed us to conclude that the errors that lead to the loss of the game for elite U8 players are related to short-term calculation (tactical motifs, undefended pieces or checkmate) as opposed to long-term strategic errors.

Language: English
Page range: 45 - 60
Published on: Jul 7, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2025 Jorge Miranda, Javier Arana, Daniel Lapresa, M. Teresa Anguera, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.