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Journal of Quantitative Analysis in Sports
Beating the market betting on NHL hockey games
Decision Sciences (miscellaneous)
Social Sciences (miscellaneous)
author_sort buttrey, samuel e.
spelling Buttrey, Samuel E. 1559-0410 2194-6388 Walter de Gruyter GmbH Decision Sciences (miscellaneous) Social Sciences (miscellaneous) http://dx.doi.org/10.1515/jqas-2015-0003 <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> Beating the market betting on NHL hockey games Journal of Quantitative Analysis in Sports
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title Beating the market betting on NHL hockey games
title_unstemmed Beating the market betting on NHL hockey games
title_full Beating the market betting on NHL hockey games
title_fullStr Beating the market betting on NHL hockey games
title_full_unstemmed Beating the market betting on NHL hockey games
title_short Beating the market betting on NHL hockey games
title_sort beating the market betting on nhl hockey games
topic Decision Sciences (miscellaneous)
Social Sciences (miscellaneous)
url http://dx.doi.org/10.1515/jqas-2015-0003
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description <jats:title>Abstract</jats:title> <jats:p>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.</jats:p>
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description <jats:title>Abstract</jats:title> <jats:p>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.</jats:p>
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spelling Buttrey, Samuel E. 1559-0410 2194-6388 Walter de Gruyter GmbH Decision Sciences (miscellaneous) Social Sciences (miscellaneous) http://dx.doi.org/10.1515/jqas-2015-0003 <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> Beating the market betting on NHL hockey games Journal of Quantitative Analysis in Sports
spellingShingle Buttrey, Samuel E., Journal of Quantitative Analysis in Sports, Beating the market betting on NHL hockey games, Decision Sciences (miscellaneous), Social Sciences (miscellaneous)
title Beating the market betting on NHL hockey games
title_full Beating the market betting on NHL hockey games
title_fullStr Beating the market betting on NHL hockey games
title_full_unstemmed Beating the market betting on NHL hockey games
title_short Beating the market betting on NHL hockey games
title_sort beating the market betting on nhl hockey games
title_unstemmed Beating the market betting on NHL hockey games
topic Decision Sciences (miscellaneous), Social Sciences (miscellaneous)
url http://dx.doi.org/10.1515/jqas-2015-0003