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Mutual Point-winning Probabilities (MPW): a New Performance Measure for Table Tennis

Listed author(s):
  • Christophe Ley
  • Yves Dominicy
Registered author(s):

    We propose a new performance measure for table tennis players: the mutual point-winning probabilities (MPW) as server and receiver. The MPWs quantify a player's chances to win a point against a given opponent, and hence nicely complement the classical match statistics history between two players. We shall describe the MPWs, explain the statistics underpinning their calculation, and show via a Monte Carlo simulation study that our estimation procedure works well. As an illustration of the MPWs' versatile use, we use it as an alternative ranking method in two round-robin tournaments of ten respectively eleven table tennis players that we have ourselves organized.

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    File URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/250695/3/2017-23-LEY_DOMINICY_BRUNEEL-mutual.pdf
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    Paper provided by ULB -- Universite Libre de Bruxelles in its series Working Papers ECARES with number ECARES 2017-23.

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    Length: 12 p.
    Date of creation: May 2017
    Publication status: Published by:
    Handle: RePEc:eca:wpaper:2013/250695
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    1. Siem Jan Koopman & Rutger Lit, 2015. "A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 167-186, 01.
    2. Baker, Rose D. & McHale, Ian G., 2014. "A dynamic paired comparisons model: Who is the greatest tennis player?," European Journal of Operational Research, Elsevier, vol. 236(2), pages 677-684.
    3. Davy Paindaveine & Yves-Caoimhin Swan, 2009. "A stochastic analysis of some two-person sports," Working Papers ECARES 2009_025, ULB -- Universite Libre de Bruxelles.
    4. James T. Peach & Steven L. Fullerton & Thomas M. Fullerton, 2016. "An empirical analysis of the 2014 Major League Baseball season," Applied Economics Letters, Taylor & Francis Journals, vol. 23(2), pages 138-141, February.
    5. Peter J. Diggle, 2015. "Statistics: a data science for the 21st century," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 793-813, October.
    6. Klaassen F. J G M & Magnus J. R., 2001. "Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 500-509, June.
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