Details

Data Analytics in Professional Soccer


Data Analytics in Professional Soccer

Performance Analysis Based on Spatiotemporal Tracking Data

von: Daniel Link

90,94 €

Verlag: Springer Vieweg
Format: PDF
Veröffentl.: 16.02.2018
ISBN/EAN: 9783658211776
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>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.<br></p>
<p>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.</p>
<p><b>Dr. Daniel Link </b>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.<b></b></p>
<div>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.</div><div><br></div><div><b>Contents</b></div><div><ul><li>Individual Ball Possession in Soccer<br></li><li>Real Time Quantification of Dangerousity<br></li><li>A Topography of Free Kicks<br></li><li>Match Importance Affects Activity<br></li><li>Effect of Ambient Temperature on Pacing Depends on Skill Level<br></li><li>Vanishing Spray Reduces Extent of Rule Violations</li></ul></div><div><b>Target Groups</b></div><div><ul><li>Lecturers and students of sports science, data analytics, computer science<br></li><li>Experts in sports data, bookmakers, mediacompanies, sports reporting, coaches and sports analysts</li></ul></div><div><b>The Author</b><br></div><div><b>Dr. Daniel Link </b>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.</div><div><br></div>
Innovative Approaches for Analyzing Soccer Data

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