Academic Journal of Computing & Information Science, 2024, 7(6); doi: 10.25236/AJCIS.2024.070614.
Yanwen Chen, Guoxuan Sun, Lei Ge
College of Business, Hohai University, Nanjing, China
Carlos Alcaraz sparked the tennis world's attention when he defeated the legendary Novak Djokovic in the men's singles final at Wimbledon 2023. This study utilized a unique data processing method to construct a LightGBM regression model to successfully predict the match outcome. Through SHAP analysis, it was found that the distance a player moves is crucial to the match outcome. The study demonstrated that proper utilization of technical and strategic resources can enhance player performance. This study provides new perspectives for understanding momentum changes in matches and emphasizes the potential of data-driven predictive models in sports competitions. For policy makers and researchers in tennis and other fields, this study provides useful insights and methods.
Momentum, LightGBM, SHAP Analysis
Yanwen Chen, Guoxuan Sun, Lei Ge. Momentum Analysis Based on LightGBM and SHAP Methods. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 6: 88-94. https://doi.org/10.25236/AJCIS.2024.070614.
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