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The temporalized Massey’s method

Author

Listed:
  • Franceschet Massimo

    (Department of Mathematics, Computer Science and Physics, University of Udine, Via delle Scienze 206, Udine 33100, Italy)

  • Bozzo Enrico

    (Department of Mathematics, Computer Science and Physics, University of Udine, Via delle Scienze 206, Udine 33100, Italy)

  • Vidoni Paolo

    (Department of Economics and Statistics, University of Udine, Via Tomadini 30/a, Udine 33100, Italy)

Abstract

We propose and throughly investigate a temporalized version of the popular Massey’s technique for rating actors in sport competitions. The method can be described as a dynamic temporal process in which team ratings are updated at every match according to their performance during the match and the strength of the opponent team. Using the Italian soccer dataset, we empirically show that the method has a good foresight prediction accuracy.

Suggested Citation

  • Franceschet Massimo & Bozzo Enrico & Vidoni Paolo, 2017. "The temporalized Massey’s method," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(2), pages 37-48, June.
    • Handle: RePEc:bpj:jqsprt:v:13:y:2017:i:2:p:37-48:n:3
    DOI: 10.1515/jqas-2016-0093
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    References listed on IDEAS

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    1. Chartier Timothy P. & Kreutzer Erich & Langville Amy N & Pedings Kathryn E., 2011. "Sports Ranking with Nonuniform Weighting," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-16, July.
    2. Harville D.A., 2003. "The Selection or Seeding of College Basketball or Football Teams for Postseason Competition," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 17-27, January.
    3. Manuela Cattelan & Cristiano Varin & David Firth, 2013. "Dynamic Bradley–Terry modelling of sports tournaments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(1), pages 135-150, January.
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