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Properties of sports ranking methods

Author

Listed:
  • Baback Vaziri
  • Shaunak Dabadghao
  • Yuehwern Yih
  • Thomas L. Morin
Abstract
Ideally, the ranking of sports teams should incorporate information (comprehensiveness) obtained from the outcome of a match, such as the strength of the opponent and schedule. In addition, the ranking method should be fair and not reward teams for poor performance or factors beyond their control, such as the sequence of the matches. We state properties such that if followed, the ranking methods will be fair and comprehensive. We evaluate five popular sports ranking methods and whether or not they adhere to these properties. Further, we identify a ranking method that under reasonably sufficient conditions will satisfy all of the properties.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:tjorxx:v:69:y:2018:i:5:p:776-787
    DOI: 10.1057/s41274-017-0266-8
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    Cited by:

    1. Csató, László & Petróczy, Dóra Gréta, 2021. "On the monotonicity of the eigenvector method," European Journal of Operational Research, Elsevier, vol. 292(1), pages 230-237.
    2. Carmen Herrero & Antonio Villar, 2022. "Sports competitions and the Break-Even rule," Working Papers 22.13, Universidad Pablo de Olavide, Department of Economics.
    3. White, Mark H., 2021. "bwsTools: An R package for case 1 best-worst scaling," Journal of choice modelling, Elsevier, vol. 39(C).
    4. Carmen Herrero & Antonio Villar, 2022. "Pairwise contests: wins, losses, and strength," Working Papers 22.11, Universidad Pablo de Olavide, Department of Economics.
    5. Ausloos, Marcel, 2024. "Hierarchy selection: New team ranking indicators for cyclist multi-stage races," European Journal of Operational Research, Elsevier, vol. 314(2), pages 807-816.
    6. Chitresh Kumar & Girish Balasubramanian, 2023. "Comparative Analysis of Pitch Ratings in All Formats of Cricket," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 48(3), pages 307-324, August.
    7. Collingwood, James A.P. & Wright, Michael & Brooks, Roger J, 2022. "Evaluating the effectiveness of different player rating systems in predicting the results of professional snooker matches," European Journal of Operational Research, Elsevier, vol. 296(3), pages 1025-1035.

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