Research on trend prediction and factor analysis of tennis potential energy
ACKNOWLEDGEMENTS: This work was Supported by Special Research Project on Teaching Reform (Grant No. 30120300100-23-yb-jgkt03) and Changzhou Science and Technology Planning Project (CE20225067).
Keywords:
Potential Energy; Score Model; Critic Method, Neural Network RegressionAbstract
This paper proposed a model to capture score changes and potential energy flows in tennis matches, which could be used to explore the indicators that can predict changes in the direction of matches. The study verified the feasibility of potential energy and provide data-based strategy recommendations for coaches and players to help them better understand and exploit potential energy changes in matches. By model establishing and analysis, there are several conclusions could be obtained. First, points advantage and games won have a significant impact on player 2’s performance, but compared with player 1, winning points have a slightly greater impact on player 2, which may reflect that Player 2 takes a more active offensive strategy in the game. Second, increasing the weight of serve advantage can enhance the potential energy of players to a certain extent, although the enhancement effect is relatively small. Sensitivity analysis further revealed the sensitivity of potential energy to the change of service advantage weight. Finally, by calculating the change rate of potential energy, it could be observed that, with the increase of weight, the sensitivity showed a slight fluctuation trend, which was amplified to the range of 0 to 1, and the potential energy was less sensitive to the change of the serve advantage weight.
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APA:
Zhu, Z., Song, C., Kong, Y., & Sheng, D. (2024). Research on trend prediction and factor analysis of tennis potential energy. International Scientific Technical and Economic Research, 2(2), 24–31. http://www.istaer.online/index.php/Home/article/view/No.2433
GB/T 7714-2015:
Zhu Zhaoqing, Song Chenxuan, Kong Yuantong, Sheng Dongping. Research on trend prediction and factor analysis of tennis potential energy[J]. International Scientific Technical and Economic Research, 2024, 2(2): 24–31. http://www.istaer.online/index.php/Home/article/view/No.2433
MLA:
Zhu, Zhaoqing, et al. "Research on trend prediction and factor analysis of tennis potential energy." International Scientific Technical and Economic Research, 2.2 (2024): 24-31. http://www.istaer.online/index.php/Home/article/view/No.2433
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