2024
DOI: 10.62051/smfmby95
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Dynamic research of tennis match based on machine learning

Xiangyu Wu,
Haoxuan Xu,
Xuan Zeng

Abstract: The study employed the Adaboost algorithm to identify optimal indicators of momentum, demonstrating that momentum could significantly predict the likelihood of a player's subsequent wins or losses. This study offers a novel exploration into the dynamics of tennis matches, focusing on the concept of "momentum" and its impact on match outcomes. Through an analysis of the 2023 Wimbledon Men’s Singles final, the research demonstrates how momentum significantly influences the likelihood of a player's success, chall… Show more

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