Momentum analysis of tennis players based on entropy weight method and personal’s correlation coefficient

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.