Data Analytics in Professional Soccer

Performance Analysis Based on Spatiotemporal Tracking Data
1. Auflage 2018
ISBN: 978-3-658-21176-9
Verlag: Springer

Buch, Englisch, 123 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 193 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Link, Daniel

Fachgebiete

• Sozialwissenschaften Sport | Tourismus | Freizeit Sport Ballsportarten American Football Fußball
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften

Inhaltsverzeichnis

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.

Über Autor(innen)

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.