Author(s)

Xingyu Zhou ¹, Zhaoyang Ke ², Hongqing Zhou ²

Affiliation(s)

¹ School of Mathematics and Physics, North China Electric Power University, Beijing, 102206, China
² School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing, 102206, China

Corresponding Author

Xingyu Zhou

ABSTRACT

In tennis matches, the psychological and physiological state of the players in the match is gradually considered to be the key factor affecting the result of the match, and "momentum" is considered to be one of the important factors determining the trend of the match. However, how to quantify and accurately assess the impact of momentum on the outcome of a match remains a challenge. To solve this problem, this paper proposes a dynamic quantitative model based on tennis match momentum analysis method. Taking the 2023 Wimbledon men's singles final as an example, this paper combines statistical analysis, entropy weight method, T-test, binary logistic regression analysis and other methods, and uses SPSS, Matlab, Excel and other tools to deeply explore the impact of momentum-related factors on tennis matches, and quantifies the effect of momentum on match results. The results show that the dynamic momentum quantitative model has strong explanatory power and practical guiding significance, and can provide optimization strategies and decision-making suggestions for coaches and athletes.

KEYWORDS

Dynamic Quantization Model, Entropy Weight Method, T-test, Binary Logistic Regression, Momentum Analysis

CITE THIS PAPER

Xingyu Zhou, Zhaoyang Ke, Hongqing Zhou, Research on Tennis Match Momentum Based on Dynamic Quantitative Model. Transactions on Computational and Applied Mathematics (2025) Vol. 5: 1-10. DOI: http://dx.doi.org/10.23977/tracam.2025.050101.

REFERENCES

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