This study delves into the intricate problem of quantifying and evaluating tennis players' performance during matches and its direct relationship with match outcomes. By employing the Entropy-weight Method, the research constructs a robust and comprehensive evaluation model that meticulously quantifies players' performance across various stages of a match. The model leverages the Pearson Correlation Coefficient and Spearman Rank Correlation Coefficient to rigorously verify the strong correlation between player performance metrics and match results. These statistical tools ensure the reliability and validity of the findings, highlighting the importance of performance consistency and adaptability in determining match success. Additionally, through the integration of real-time data and innovative Boolean operation visualization techniques, the study provides a dynamic analysis of the trend relationship between match fluctuations and player performance. The results reveal a significant correlation between player performance and match fluctuations, with the momentum accumulation process emerging as a critical factor in shaping match outcomes. This model not only equips coaches and players with actionable insights for real-time tactical adjustments but also offers a scientific foundation for predicting match results. By bridging the gap between theoretical analysis and practical application, this research holds substantial value for the sports science community, enhancing both strategic decision-making and performance optimization in competitive tennis.

Chaoying Wei, Xuwei Li. Research on the Performance Evaluation and Momentum Analysis of Athletes in Matches Based on the Entropy Weight Method. Academic Journal of Computing & Information Science (2025), Vol. 8, Issue 6: 107-113. https://doi.org/10.25236/AJCIS.2025.080613.

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