Paper
21 July 2024 Research on the influence of momentum evaluation model on professional tennis players
Jiahao Xiu, Pengju Yang, Ruite Guo
Author Affiliations +
Proceedings Volume 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024); 132193H (2024) https://doi.org/10.1117/12.3036529
Event: 4th International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2024), 2024, Kaifeng, China
Abstract
This study analyzes the impact of psychological momentum (PM) on score fluctuations in male tennis players. t employs Principal Component Analysis (PCA) to create a Real-Time Momentum Evaluation Model, comprising three principal components: "Offense," "Stability," and "Defense." Meanwhile, changes in momentum are plotted to reflect player performance throughout the game. A Randomized Testing model is developed to assess momentum randomness. It reveals a significant correlation (96%) between maximum momentum scores and game winners. This study introduces a randomized permutation test, indicating that momentum is unlikely to be random, further supporting these findings. A Turning Point Prediction Model is introduced to forecast game fluctuations, defining turning points as instances where the momentum difference exceeds a threshold. By analyzing the importance ranking of determining factors, this study identifies the top three main influencing factors as the number of games played, break points won, and player scores.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiahao Xiu, Pengju Yang, and Ruite Guo "Research on the influence of momentum evaluation model on professional tennis players", Proc. SPIE 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024), 132193H (21 July 2024); https://doi.org/10.1117/12.3036529
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KEYWORDS
Decision trees

Data modeling

Statistical analysis

Education and training

Performance modeling

Principal component analysis

Statistical modeling

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