Overview
- Describes the best algorithms to measure collective behavior in soccer and other team sports
- Explains how computational metrics based on geo-referencing can be used to identify collective properties of the teams
- Clarifies the importance of using the dots to identify patterns
- Explores the metrics in experimental cases of soccer
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
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About this book
This book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a practical perspective on collective behavioural analysis, it introduces the computational metrics available in the literature that allow readers to identify collective behaviour and patterns of play in team sports.
These metrics only require the bio-dimensional geo-referencing information from GPS or video-tracking systems to provide qualitative and quantitative information about the tactical behaviour of players and the inter-relationships between teammates and their opponents. Exercises, experimental cases and algorithms enable readers to fully comprehend how to compute these metrics, as well as introducing them to the ultimate performance analysis tool, which is the basis to run them on. The script to compute the metrics is presented in Python.The book is a valuable resource for professional analysts as well students and researchers in the field of sports analysis wanting to optimise the use of GPS trackers in soccer.
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Reviews
“I truly believe that the information generated in this way should be highly valuable for soccer coaches, in particular to improve the tactical behavior of a team.” (Christian Meyer, SIAM Review, Vol. 61 (4), December, 2019)
Authors and Affiliations
Bibliographic Information
Book Title: Computational Metrics for Soccer Analysis
Book Subtitle: Connecting the dots
Authors: Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio Correia, Frutuoso G. M Silva, Fernando Manuel Lourenço Martins
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-319-59029-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2018
Softcover ISBN: 978-3-319-59028-8Published: 30 October 2017
eBook ISBN: 978-3-319-59029-5Published: 20 October 2017
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XIII, 79
Number of Illustrations: 6 b/w illustrations, 21 illustrations in colour
Topics: Communications Engineering, Networks, Sport Science , Information and Communication, Circuits, Python