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Predicting the outcomes of annual sporting contests

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  • Rose Baker
  • Philip Scarf

Abstract

Summary. Data from 20 sporting contests in which the same two teams compete regularly are studied. Strong and weak symmetry requirements for possible models are identified, and some simple models are proposed and fitted to the data. The need to compute the exact likelihood function and the presence of missing values make this non‐trivial. Forecasting match outcomes by using the models can give a modest improvement over a naïve forecast. Significance tests for studying the effect of ‘match covariates’ such as playing at home or away or winning the toss are introduced, and the effect of these covariates is in general found to be quite large.

Suggested Citation

  • Rose Baker & Philip Scarf, 2006. "Predicting the outcomes of annual sporting contests," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(2), pages 225-239, April.
    • Handle: RePEc:bla:jorssc:v:55:y:2006:i:2:p:225-239
    DOI: 10.1111/j.1467-9876.2006.00525.x
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