Soccer Analytics Using Touch-by-Touch Match Data Chapter

abstract

• Springer International Publishing Switzerland 2014. 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.

authors

• Butenko, Sergiy

author list (cited authors)

• Butenko, S., & Yates, J.

citation count

• 0

complete list of authors

• Butenko, Sergiy||Yates, Justin

Book Title

• Social Networks and the Economics of Sports

publication date

• January 2014

publisher

• Springer Nature  Publisher

Digital Object Identifier (DOI)

• 10.1007/978-3-319-08440-4_9

International Standard Book Number (ISBN) 13

• 9783319084398

start page

• 149

end page

• 156