Elementary econometric and strategic analysis of curling matches

Purpose We develop a Markov model of curling matches. This enables strategic and econometric analyses to be performed alongside computer simulation work. Design/methodology/approach We develop a Markov model of curling matches, parametrised by the probability of winning an end and the probability distribution of scoring ends. In practical applications, these end-winning probabilities can be estimated econometrically and are shown to depend on which team holds the hammer as well as the offensive and defensive strengths of the respective teams. Using a maximum entropy argument, based on the idea of characteristic scoring patterns in curling, we predict that the points distribution of scoring ends should follow a constrained geometric distribution. Findings We provide analytical results detailing when it is optimal to blank the end in preference to scoring one point and losing possession of the hammer. Statistical and simulation analysis of international curling matches is also performed. Originality/value Our work adds to the theory and application of sports analytics, especially Markov models, and to the econometric and strategic analysis of curling matches.

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Publication Details

Journal
Managerial Finance
Published
2024-12-06
DOI
https://doi.org/10.1108/mf-06-2024-0467
Citations
1
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
1.13
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article

Elementary econometric and strategic analysis of curling matches

John Fry, M.D. Austin, Silvio Fanzon
1 citations
Managerial Finance
Sports Analytics and Performance
1.13
article

Elementary econometric and strategic analysis of curling matches

John Fry, M.D. Austin, Silvio Fanzon
article en
1 citations

Abstract

Purpose We develop a Markov model of curling matches. This enables strategic and econometric analyses to be performed alongside computer simulation work. Design/methodology/approach We develop a Markov model of curling matches, parametrised by the probability of winning an end and the probability distribution of scoring ends. In practical applications, these end-winning probabilities can be estimated econometrically and are shown to depend on which team holds the hammer as well as the offensive and defensive strengths of the respective teams. Using a maximum entropy argument, based on the idea of characteristic scoring patterns in curling, we predict that the points distribution of scoring ends should follow a constrained geometric distribution. Findings We provide analytical results detailing when it is optimal to blank the end in preference to scoring one point and losing possession of the hammer. Statistical and simulation analysis of international curling matches is also performed. Originality/value Our work adds to the theory and application of sports analytics, especially Markov models, and to the econometric and strategic analysis of curling matches.

Managerial FinanceVol. 51(7)
University of Hull (GB)
Openalex Percentile: Top 11%
Sports Analytics and Performance
1.13
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