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Data Analytics in Professional Soccer: Performance Analysis Based on Spatiotemporal Tracking Data
Data Analytics in Professional Soccer: Performance Analysis Based on Spatiotemporal Tracking Data
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Data Analytics in Professional Soccer: Performance Analysis Based on Spatiotemporal Tracking Data

Data Analytics in Professional Soccer: Performance Analysis Based on Spatiotemporal Tracking Data

Category

Data Analysis

Author

Daniel Link

Publication

Springer Vieweg

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9783658211769
Publisher
Springer Vieweg
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Daniel Link

Daniel Link

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Review

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) --This text refers to the paperback edition.

From the Back Cover

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.
 --This text refers to the paperback edition.

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