Data Analytics in Professional Soccer - Daniel Link

Data Analytics in Professional Soccer

Performance Analysis Based on Spatiotemporal Tracking Data

(Autor)

Buch | Softcover
XIII, 123 Seiten
2018 | 1st ed. 2018
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-21176-9 (ISBN)
90,94 inkl. MwSt

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.

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.

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.

"Link (Technical Univ. of Munich) has compiled an interesting collection of sports analytics studies on professional soccer data. ... A valuable addition to collections on sports science, data analytics, and computer science; sports data experts, coaches, and experts will find interesting and practical insights here. Summing Up: Recommended. Graduate students, researchers, and professionals." (C. Tappert, Choice, Vol. 56 (2), October, 2018)

“Link (Technical Univ. of Munich) has compiled an interesting collection of sports analytics studies on professional soccer data. … A valuable addition to collections on sports science, data analytics, and computer science; sports data experts, coaches, and experts will find interesting and practical insights here. Summing Up: Recommended. Graduate students, researchers, and professionals.” (C. Tappert, Choice, Vol. 56 (2), October, 2018)

Erscheinungsdatum
Zusatzinfo XIII, 123 p. 25 illus., 10 illus. in color.
Verlagsort Wiesbaden
Sprache englisch
Maße 148 x 210 mm
Gewicht 191 g
Themenwelt Sachbuch/Ratgeber Sport
Mathematik / Informatik Informatik Software Entwicklung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Schlagworte Big Data • Computer Science in Sport • Data Mining • Football • Performance Indictor • Soccer • Tactical Performance
ISBN-10 3-658-21176-8 / 3658211768
ISBN-13 978-3-658-21176-9 / 9783658211769
Zustand Neuware
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