Explaining basketball game performance with SHAP: insights from Chinese Basketball Association

Abstract This study explores the Key Performance Indicators (KPIs) influencing the game outcomes of the Chinese Basketball Association (CBA). Utilizing data from 4100 games across 10 CBA seasons (2013–2023), this study constructs CBA game outcome prediction models using seven machine learning algori...

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Principais autores:	Yan Ou-Yang, Wei Hong, Liming Peng, Cheng-Xi Mao, Wen-Jia Zhou, Wei-Tao Zheng, Quan Wang, Feng Qi, Xue-Wei Li, Shi-Huan Chen, Ce Xu, Yu-Fan Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2025-04-01
Series:	Scientific Reports
Assuntos:	CBA Basketball Performance analysis Team sports Machine learning Data mining
Acceso en liña:	https://doi.org/10.1038/s41598-025-97817-3
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