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

by Daniel Link
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Current price ₹6,185.00
Original price ₹9,515.00
Original price ₹9,515.00
Original price ₹9,515.00
(-35%)
₹6,185.00
Current price ₹6,185.00

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Book cover type: Paperback
  • ISBN13: 9783658211769
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer Vieweg
  • Publication Date:
  • Pages: 123
  • Original Price: EUR 84.99
  • Language: English
  • Edition: 2018
  • Item Weight: 190 grams
  • BISAC Subject(s): Computer Science, Artificial Intelligence / Computer Vision & Pattern Recognition, and Applied

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.

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.

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