Unveiling the Deep Connection Between Athlete Momentum and Match Scoring through Statistics Analysis
DOI:
https://doi.org/10.54097/7fb8pg15Keywords:
Momentum, Athlete Performance Assessment, Binary logistic regression, Momentum state transfer algorithm.Abstract
The concept of momentum in ball sports is characterized by significant changes in-game performance and mental states, which play a key role in determining the outcome of a match. This study takes the 2023 Wimbledon men's final as an example and constructs a model for assessing athletes' performance during tennis matches based on binary logistic regression. It also constructs a tennis match momentum assessment algorithm to explore the relationship between the momentum change among match players and the performance change (score difference) of both players. It was found that the momentum change of match players was closely related to the score difference. This study is not only conducive to improving the athletes' competitive level but also has a profound impact on the scientific and professional development of tennis.
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