Dr John Fry J.M.Fry@hull.ac.uk
Senior Lecturer in Applied Mathematics
Dr John Fry J.M.Fry@hull.ac.uk
Senior Lecturer in Applied Mathematics
Mark Austin
Dr Silvio Fanzon S.Fanzon@hull.ac.uk
Lecturer in Applied Mathematics
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.
Fry, J., Austin, M., & Fanzon, S. (online). Elementary econometric and strategic analysis of curling matches. Managerial Finance, https://doi.org/10.1108/MF-06-2024-0467
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 5, 2024 |
Online Publication Date | Dec 6, 2024 |
Deposit Date | Nov 11, 2024 |
Publicly Available Date | Dec 9, 2024 |
Journal | Managerial Finance |
Print ISSN | 0307-4358 |
Publisher | Emerald |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1108/MF-06-2024-0467 |
Keywords | Curling; Markov models; Sports |
Public URL | https://hull-repository.worktribe.com/output/4912003 |
Accepted manuscript
(285 Kb)
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Copyright Statement
Copyright © 2024, Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.
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