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Soccer Analytics Using Touch-by-Touch Match Data

In: Social Networks and the Economics of Sports

Author

Listed:
  • Sergiy Butenko

    (Texas A&M University)

  • Justin Yates

    (Texas A&M University)

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.

Suggested Citation

  • Sergiy Butenko & Justin Yates, 2014. "Soccer Analytics Using Touch-by-Touch Match Data," Springer Books, in: Panos M. Pardalos & Victor Zamaraev (ed.), Social Networks and the Economics of Sports, edition 127, pages 149-156, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08440-4_9
    DOI: 10.1007/978-3-319-08440-4_9
    as

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