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Computational Metrics for Soccer Analysis: Connecting the dots
Kategorie Beschreibung
036aXA-DE
037beng
087q978-3-319-59028-8
100 Clemente, Filipe Manuel
104bMartins, Fernando Manuel Lourenço ¬[VerfasserIn]¬
108bSequeiros, João Bernardo ¬[VerfasserIn]¬
112bCorreia, Acácio ¬[VerfasserIn]¬
116bSilva, Frutuoso G. M. ¬[VerfasserIn]¬
331 Computational Metrics for Soccer Analysis
335 Connecting the dots
410 Cham
412 Springer
425 2018
425a2018
433 Online-Ressource (XIII, 79 p. 27 illus., 21 illus. in color, online resource)
451bSpringerBriefs in Applied Sciences and Technology
527 Druckausg.ISBN: 978-3-319-59028-8
527 Printed editionISBN: 978-3-319-59028-8
540aISBN 978-3-319-59029-5
700 |TJK
700 |TEC041000
700b|621.382
700c|TK1-9971
750 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.
012 495034681
081 Clemente, Filipe Manuel: Computational Metrics for Soccer Analysis
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttp://dx.doi.org/10.1007/978-3-319-59029-5
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