Extending the Dixon and Coles model: an application to women’s football data

Abstract The prevalent model by Dixon and Coles extends the double Poisson model where two independent Poisson distributions model the number of goals scored by each team by moving probabilities between the scores 0-0, 0-1, 1-0, and 1-1. We show that this is a special case of a multiplicative model known as the Sarmanov family. Based on this family, we create more suitable models by moving probabilities between scores and employing other discrete distributions. We apply the new models to women’s football scores, which exhibit some characteristics different than that of men’s football.

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Publication Details

Journal
Journal of the Royal Statistical Society Series C (Applied Statistics)
Published
2024-10-11
DOI
https://doi.org/10.1093/jrsssc/qlae050
Citations
3
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
3.39

Funders

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article

Extending the Dixon and Coles model: an application to women’s football data

Dimitris Karlis, Rouven Michels, Marius Ötting
3 citations
Journal of the Royal Statistical Society Series C (Applied Statistics)
Sports Analytics and Performance
3.39
article

Extending the Dixon and Coles model: an application to women’s football data

Dimitris Karlis, Rouven Michels, Marius Ötting
article en
3 citations

Abstract

Abstract The prevalent model by Dixon and Coles extends the double Poisson model where two independent Poisson distributions model the number of goals scored by each team by moving probabilities between the scores 0-0, 0-1, 1-0, and 1-1. We show that this is a special case of a multiplicative model known as the Sarmanov family. Based on this family, we create more suitable models by moving probabilities between scores and employing other discrete distributions. We apply the new models to women’s football scores, which exhibit some characteristics different than that of men’s football.

Journal of the Royal Statistical Society Series C (Applied Statistics)Vol. 74(1)
Bielefeld University (DE), Athens University of Economics and Business (GR)
Deutsche Forschungsgemeinschaft
Gender equality
Openalex Percentile: Top 6%
Sports Analytics and Performance
3.39
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