The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review
December 26, 2019 Β· The Cartographer Β· π Journal of Artificial Intelligence Research
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"Title-pattern auto-detect: The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review"
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Authors
Rory Bunker, Teo Susnjak
arXiv ID
1912.11762
Category
cs.LG: Machine Learning
Cross-listed
stat.AP,
stat.ML
Citations
96
Venue
Journal of Artificial Intelligence Research
Last Checked
1 day ago
Abstract
Over the past two decades, Machine Learning (ML) techniques have been increasingly utilized for the purpose of predicting outcomes in sport. In this paper, we provide a review of studies that have used ML for predicting results in team sport, covering studies from 1996 to 2019. We sought to answer five key research questions while extensively surveying papers in this field. This paper offers insights into which ML algorithms have tended to be used in this field, as well as those that are beginning to emerge with successful outcomes. Our research highlights defining characteristics of successful studies and identifies robust strategies for evaluating accuracy results in this application domain. Our study considers accuracies that have been achieved across different sports and explores the notion that outcomes of some team sports could be inherently more difficult to predict than others. Finally, our study uncovers common themes of future research directions across all surveyed papers, looking for gaps and opportunities, while proposing recommendations for future researchers in this domain.
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