1.

Record Nr.

UNINA9910299298203321

Autore

Link Daniel

Titolo

Data Analytics in Professional Soccer : Performance Analysis Based on Spatiotemporal Tracking Data / / by Daniel Link

Pubbl/distr/stampa

Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2018

ISBN

3-658-21177-6

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (130 pages) : illustrations

Disciplina

796.3340943

Soggetti

Artificial intelligence

Optical data processing

Applied mathematics

Engineering mathematics

Sports sciences

Artificial Intelligence

Computer Imaging, Vision, Pattern Recognition and Graphics

Mathematical and Computational Engineering

Sport Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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.