Soccer Analytics Using Touch-by-Touch Match Data

Sergiy Butenko () and Justin Yates ()
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Sergiy Butenko: Texas A&M University
Justin Yates: Texas A&M University

A chapter in Social Networks and the Economics of Sports, 2014, pp 149-156 from Springer

Abstract: Abstract This paper discusses several soccer analytics directions exploiting detailed ball touch data from a soccer game. The topics discussed include visualizing team formations and quantifying territorial advantage; determining the network-based structural properties of team play, and computing the importance of individual players for the team interactions. The proposed ideas are illustrated using the data from a real-life Barclays Premier League game, which was made available by StatDNA.

Keywords: Span Tree; Social Network Analysis; Gini Coefficient; Centrality Score; Soccer Game (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-08440-4_9

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DOI: 10.1007/978-3-319-08440-4_9

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