Momentum analysis of tennis players based on entropy weight method and personal’s correlation coefficient
DOI:
https://doi.org/10.54097/n7tq7s36Keywords:
Tennis Sport, Momentum Analysis, Entropy Weight Method, Correlation Analysis.Abstract
In sports, a player or team may feel "powerful" at a certain stage of the game, and the momen-tum of the game may be shifted to a certain side, and the analysis of game momentum and player momentum has been an important topic in the field of sports research. In this paper, we use the data from the final of the 2023 Wimbledon Tennis Championships to first construct a comprehensive model that includes the analysis of players' performance during the match, in order to understand the reasons for the shift in the momentum of the match and its impact on the final outcome of the match. The model utilizes a modified entropy weighting method to quantify the performance of tennis players, and constructs "momentum" characteristics to quantify the cumulative advantage among tennis players and its effect on the momentum of the match. The relationship between the performance of the players and the match result is then analyzed by using the personal correlation coefficient, and a strong positive correlation is found between the two, which indicates that momentum and momentum play a key role in de-termining the winner of the match.
Downloads
References
Fang Xiangzhong. Uncertainty makes sports competition full of charm[J]. China Statistics,2022(2):21-23.
Du Zirui. Current status of technical and tactical research on competitive tennis in China based on visualization analysis[J]. Sports Goods and Technology,2023,14(14):153-155.
Wang Jiarui,Zou Zhumeiyi.Analysis of the factors of Djokovic's victory in 2021 Australian Open[C]// Hubei Sports Science Society. Proceedings of the First Hubei Sports Science Conference(Volume I). Wuhan Institute of Physical Education;,2023:2.
Rong Doudou,Xu Xiangfeng. Research on the characteristics of competitive ability of amateur male tennis players in China -an analysis based on the men's singles champion of the 14th National Games mass competition tennis final[J]. Sports Excellence,2022,41(6):89-92,95.
WANG Wei,ZHOU Shu. Research and analysis of game characteristics of professional tennis competition[C]// Hubei Sports Science Society. Proceedings of the First Hubei Sports Science Conference (Volume I). Hubei Normal University;,2023:3.
LI Qingwen,PEI Huafu,SONG Huaibo,et al. Prediction of PSO-SVR-NGM slope displacement based on the optimized combination of entropy weight method[J]. Journal of Engineering Geology,2023,31(3):949-958.
WANG Jinwei,SAN Yuhan,SAN Baohai. Analysis of short track speed skating competition data based on Pearson's correlation coefficient[J]. Ice and Snow Sports,2023,45(04):9-12+17.
Chen Chen,Zhao Qianchang.Characterization of technical and tactical analysis of Wu Yibing's serve phase in 2022 US Open[J]. Sports Science and Technology Literature Bulletin,2023,31(07):98-100+124.
MA Jiacai,CHEN Qingguo,LIANG Cairong,et al. Model construction and research analysis of match-winning factors of professional tennis players[J]. Sports Science and Technology Literature Bulletin,2023,31(4):66-68,118.
DONG Lipeng,NIE Qinghao,SUN Xiaokun et al. Analysis of the influence of shield tunneling parameters on surface settlement based on Pearson's correlation coefficient method[J]. Construction Technology,2024,53(01):116-123.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
