Cited by 4Sports Analytics and PerformanceForecasting Techniques and ApplicationsSports Performance and Training

Beating the market betting on NHL hockey games

Buttrey, Samuel E.·2016·Journal of Quantitative Analysis in Sports

Abstract

This article describes a method for predicting the outcome of National Hockey League (NHL) games. We combine a model for goal scoring and yielding, and one for penalty commission, in a Markov-type computation and a simulation model that produce predicted probabilities of victory for each team. Where these differ substantially from the market probabilities, we make “bets” according to a simple strategy. Our return on investment is both positive and statistically significant.

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Crossref · 10.1515/jqas-2015-0003

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Authors
Buttrey, S. E.
Affiliations
Naval Postgraduate School (US)
Corresponding author
Buttrey, Samuel E.
Venue
Journal of Quantitative Analysis in Sports
Published
2016-02-17
Volume
12
Issue
2
Pages
87-98
ISSN
  • 1559-0410 (ISSN-L)
  • 2194-6388
OpenAlex
W2400302550
Cited by
4
References
0
Citations by year
2023: 1 · 2021: 1 · 2018: 1 · 2017: 1
FWCI
1.30
Type
journal article
Language
en
Open access
closed
Locations
Journal of Quantitative Analysis in Sports (publishedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
Keywords
sports betting, match outcome prediction, Markov model, computer simulation, arbitrage, return on investment

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