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  4. Vol 9, Issue 2, 2024

A Study of Tennis Match Momentum Based on Random Forest Model and AHP Approach

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DOI: 10.23977/jeis.2024.090217 | Downloads: 6 | Views: 85

Author(s)

Renyang Xiong 1

Affiliation(s)

1 College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Corresponding Author

Renyang Xiong

ABSTRACT

This study explores the role of momentum in tennis by developing a mathematical model. Firstly, entropy weighting and hierarchical analysis were used to determine the weights of the athletes' competitive performance index, and the final results were obtained through the game theory combination weighting method. Then, the link between the scores of both sides of the match and momentum was analysed by Spearman's correlation coefficient, and the correlation coefficient between the two was found to be 0.610, which proved the significant influence of momentum on the results of the match. Further, a random forest model was used to predict the turning point of the match, and indicators such as running distance and winning points were found to have a significant effect on the outcome of the match. These findings provide important insights for a deeper understanding of the role of momentum in tennis matches, which can help optimise athletes' competitive performance and tactical strategies. 

KEYWORDS

Random Forest Modelling, AHP, Spearman's Correlation Coefficient

CITE THIS PAPER

Renyang Xiong, A Study of Tennis Match Momentum Based on Random Forest Model and AHP Approach. Journal of Electronics and Information Science (2024) Vol. 9: 132-140. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090217.

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