Data Analytics in Professional Soccer

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90,94 

Performance Analysis Based on Spatiotemporal Tracking Data

ISBN: 3658211768
ISBN 13: 9783658211769
Autor: Link, Daniel
Verlag: Springer Vieweg
Umfang: xiii, 123 S., 15 s/w Illustr., 10 farbige Illustr., 123 p. 25 illus., 10 illus. in color.
Erscheinungsdatum: 26.02.2018
Auflage: 1/2018
Format: 0.8 x 21 x 15
Gewicht: 194 g
Produktform: Kartoniert
Einband: Kartoniert

Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of their athletes and inspire other researchers to advance the research field of sports analytics. Contents Individual Ball Possession in Soccer Real Time Quantification of Dangerousity A Topography of Free Kicks Match Importance Affects Activity Effect of Ambient Temperature on Pacing Depends on Skill Level Vanishing Spray Reduces Extent of Rule Violations Target Groups – Lecturers and students of sports science, data analytics, computer science Experts in sports data, bookmakers, media companies, sports reporting, coaches and sports analysts The Author Dr. Daniel Link has been a lecturer and researcher at the Department of Sports and Health Sciences at the Technical University of Munich (TUM) since 2010. His research focuses on performance analysis in team sports, including technological aspects of data acquisition as well as the modeling of phenomena in sports. He supports top level teams and sport federations in implementing new approaches in match analysis.

Artikelnummer: 3649339 Kategorie:

Beschreibung

Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of their athletes and inspire other researchers to advance the research field of sports analytics.

Autorenporträt

Dr. Daniel Link has been a lecturer and researcher at the Department of Sports and Health Sciences at the Technical University of Munich (TUM) since 2010. His research focuses on performance analysis in team sports, including technological aspects of data acquisition as well as the modeling of phenomena in sports. He supports top level teams and sport federations in implementing new approaches in match analysis.

Herstellerkennzeichnung:


Springer Vieweg in Springer Science + Business Media
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E-Mail: juergen.hartmann@springer.com

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