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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
CBA
Basketball
Performance analysis
Team sports
Machine learning
Data mining
Online Access:https://doi.org/10.1038/s41598-025-97817-3
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https://doi.org/10.1038/s41598-025-97817-3

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