An Integrated Assessment Model of Momentum and Performance in Tennis Based on PCA And TOPSIS

Authors

  • Zhiming Liang
  • Xiukang Shen
  • Yuxing He

DOI:

https://doi.org/10.54097/g53hpa26

Keywords:

Tennis game, principal component analysis, TOPSIS modeling.

Abstract

This study conducted a complex analysis of the performance of athletes in tennis matches, taking into account that the performance of athletes is not only affected by the direction of the serve, but also by a variety of factors. Therefore, this study used a combination of Principal Component Analysis (PCA) and TOPSIS to solve this problem. Specifically, this study first extracted three indicators based on the original data and determined the weights of these indicators using the PCA method. Then, the momentum is reflected by weighting and summing these indicators. Next, this study used the TOPSIS model to combine momentum with other metrics in order to assess, visualise and analyse the performance of the players' scores at each point in the match. With this approach, this study was able to capture the flow of the game as scoring occurred during the match. Finally, this paper tested our model on several games and demonstrated that the model better captures the flow of the game as it is scored.

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References

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Published

30-06-2024

How to Cite

Liang, Z., Shen, X., & He, Y. (2024). An Integrated Assessment Model of Momentum and Performance in Tennis Based on PCA And TOPSIS. Highlights in Science, Engineering and Technology, 105, 230-235. https://doi.org/10.54097/g53hpa26