Skip to main content

Research Repository

Advanced Search

Elementary econometric and strategic analysis of curling matches

Fry, John; Austin, Mark; Fanzon, Silvio

Authors

Profile image of John Fry

Dr John Fry J.M.Fry@hull.ac.uk
Senior Lecturer in Applied Mathematics

Mark Austin



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.

Citation

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

Files

Accepted manuscript (285 Kb)
PDF

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.




You might also like



Downloadable Citations