A Study of Momentum Change in Sports Competitions Based on Evaluation and Correlation Analysis

Authors

  • Haonan Zhang
  • Yu Liu

DOI:

https://doi.org/10.54097/fmwffk32

Keywords:

Spearman Correlation Coefficient, CRITIC algorithm, Momentum Assessment.

Abstract

In sports competitions, momentum has an important impact on the outcome of the game, and how to accurately capture and analyze momentum changes has become a key issue in research. But traditional methods often lack comprehensiveness and objectivity, so a new assessment model is needed to better understand and predict momentum changes. In this paper, an assessment model of momentum change is proposed, aiming to establish a comprehensive and objective momentum assessment model through data transformation, correlation analysis and weight calculation. The assessment model of momentum change is based on the data transformation technique, which converts score data into game data and generates 17 indicators to reflect various factors in the game. Meanwhile, using Spearman correlation coefficient and the Criteria Importance Through Intercriteria Correlation (CRITIC) algorithm, the weights of these indicators were assigned and correlation analysis was carried out to establish the Momentum Assessment Model (MAM). This paper takes the 2023 Wimbledon Men's Singles Final as an example to demonstrate the effectiveness of MAM in analyzing momentum changes in the match flow. The results show that the model can help to understand and predict the relationship between player performance and match results during a match, providing an important research tool for the field of sports and athletics.

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References

Noy O, Shamir R. Time-dependent Iterative Imputation for Multivariate Longitudinal Clinical Data [J]. arXiv preprint arXiv: 2304.07821, 2023.

Žižović M, Miljković B, Marinković D. Objective methods for determining criteria weight coefficients: A modification of the CRITIC method [J]. Decision Making: Applications in Management and Engineering, 2020, 3 (2): 149-161.

Pamucar D, Žižović M, Đuričić D. Modification of the CRITIC method using fuzzy rough numbers [J]. Decision Making: Applications in Management and Engineering, 2022, 5 (2): 362-371.

Moss B, O’Donoghue P. Momentum in US Open men’s singles tennis [J]. International Journal of Performance Analysis in Sport, 2015, 15 (3): 884-896.

Zhang R. Result prediction and player analysis of tennis matches [D]. Yunnan University, 2022.

Zhang Q. Analysis of win-loss factors of Federer vs Nadal in 2010-2017 season [D]. Nanjing Sports Institute, 2018.

May J O, Looney S W. On sample size determination when comparing two independent Spearman or Kendall coefficients [J]. Open Journal of Statistics, 2022, 12 (2): 291-302.

Chok N S. Pearson's versus Spearman's and Kendall's correlation coefficients for continuous data [D]. University of Pittsburgh, 2010.

Krishnan A R, Kasim M M, Hamid R, et al. A modified CRITIC method to estimate the objective weights of decision criteria [J]. Symmetry, 2021, 13 (6): 973.

Mishra A R, Rani P, Pandey K. Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function [J]. Journal of ambient intelligence and humanized computing, 2022: 1-17.

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Published

30-06-2024

How to Cite

Zhang, H., & Liu, Y. (2024). A Study of Momentum Change in Sports Competitions Based on Evaluation and Correlation Analysis. Highlights in Science, Engineering and Technology, 105, 167-172. https://doi.org/10.54097/fmwffk32