Abstract
In the field of sports competition, the momentum fluctuation of athletes in a match has an important impact on the final performance, especially in a high-intensity confrontational sport such as tennis. In this paper, based on the men's singles data of the 2023 Wimbledon Tennis Championships, a prediction model based on a decision tree and a BP neural network was established to analyze the momentum and fluctuation of athletes in a match. This study contributes to an in-depth understanding of athletes' performance during matches and provides a scientific basis for their training and tactical adjustments.
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