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Using simulations to compare the current Davis Cup ranking system to Elo

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  • John Kelley

Abstract

The Davis Cup is the premier men’s team event in tennis, run by the International Tennis Federation and in which over 130 nations compete. It uses a merit-based ranking system that allows nations to gain a pre-determined number of points when they win. The rankings are integral to the competition structure and used in the draws of every round. Therefore, it is essential that the ranking method performs well with respect to required performance criteria of the International Tennis Federation. The Elo rating method is a commonly used method of rating and ranking participants in a competitive exercise and is used by FIFA for the ranking of male and female national teams. The performance of the current Davis Cup ranking method and Elo rating were compared using a simulation of the Davis Cup competition structure. Four criteria were used for the comparison: Finishing Order Correlation, Skill Level Correlation, Responsiveness, and Protection. Such a comparison has not previously been published. The two methods were comparable across three of the criteria, with the Davis cup easily outperforming Elo in responsiveness. Indeed, the Elo method had such poor responsiveness that improved performance may not be fully recognised within a player’s career. An alternative method of optimising the Elo K-factor parameter was developed and this improved the performance of Elo to match the current Davis Cup method. In conclusion, the current Davis Cup ranking method is performing at a standard that cannot be matched by typically optimised Elo but can be matched when an alternative optimisation method is used. Therefore, no evidence was found to suggest that the current Davis Cup ranking method could be improved upon by using Elo. However, alternative K-factor optimisation methods should be considered when applying Elo to a competition.

Suggested Citation

  • John Kelley, 2024. "Using simulations to compare the current Davis Cup ranking system to Elo," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-17, February.
    • Handle: RePEc:plo:pone00:0298188
    DOI: 10.1371/journal.pone.0298188
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    References listed on IDEAS

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    1. Baback Vaziri & Shaunak Dabadghao & Yuehwern Yih & Thomas L. Morin, 2018. "Properties of sports ranking methods," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(5), pages 776-787, May.
    2. Alireza Goli & Ali Ala & Seyedali Mirjalili, 2023. "A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty," Annals of Operations Research, Springer, vol. 328(1), pages 493-530, September.
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