Identifying key players in soccer teams using network analysis and pass difficulty

Identifying key players in soccer teams using network analysis and pass difficulty •Presentation and use of a uniquely rich dataset on football. •Binary additive mixed model proposed for estimating success probability of a pass. •In-depth description of model features and analysis of model accuracy. •Model combined with network analysis to identify key players in each team. •Resulting analysis applied to the English Premier League 2012/13. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Journal of Operational Research Elsevier

Identifying key players in soccer teams using network analysis and pass difficulty

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier B.V.
ISSN
0377-2217
eISSN
1872-6860
D.O.I.
10.1016/j.ejor.2018.01.018
Publisher site
See Article on Publisher Site

Abstract

•Presentation and use of a uniquely rich dataset on football. •Binary additive mixed model proposed for estimating success probability of a pass. •In-depth description of model features and analysis of model accuracy. •Model combined with network analysis to identify key players in each team. •Resulting analysis applied to the English Premier League 2012/13.

Journal

European Journal of Operational ResearchElsevier

Published: Jul 1, 2018

References

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