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Data analytics in professional socce...
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Link, Daniel.
Data analytics in professional soccerperformance analysis based on spatiotemporal tracking data /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Data analytics in professional soccerby Daniel Link.
Reminder of title:
performance analysis based on spatiotemporal tracking data /
Author:
Link, Daniel.
Published:
Wiesbaden :Springer Fachmedien Wiesbaden :2018.
Description:
xiii, 123 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
SoccerData processing.Germany
Online resource:
http://dx.doi.org/10.1007/978-3-658-21177-6
ISBN:
9783658211776$q(electronic bk.)
Data analytics in professional soccerperformance analysis based on spatiotemporal tracking data /
Link, Daniel.
Data analytics in professional soccer
performance analysis based on spatiotemporal tracking data /[electronic resource] :by Daniel Link. - Wiesbaden :Springer Fachmedien Wiesbaden :2018. - xiii, 123 p. :ill. (some col.), digital ;24 cm.
Individual Ball Possession in Soccer -- Real Time Quantification of Dangerousity -- A Topography of Free Kicks -- Match Importance Affects Activity -- Effect of Ambient Temperature on Pacing Depends on Skill Level -- Vanishing Spray Reduces Extent of Rule Violations.
Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of their athletes and inspire other researchers to advance the research field of sports analytics. Contents Individual Ball Possession in Soccer Real Time Quantification of Dangerousity A Topography of Free Kicks Match Importance Affects Activity Effect of Ambient Temperature on Pacing Depends on Skill Level Vanishing Spray Reduces Extent of Rule Violations Target Groups Lecturers and students of sports science, data analytics, computer science Experts in sports data, bookmakers, media companies, sports reporting, coaches and sports analysts The Author Dr. Daniel Link has been a lecturer and researcher at the Department of Sports and Health Sciences at the Technical University of Munich (TUM) since 2010. His research focuses on performance analysis in team sports, including technological aspects of data acquisition as well as the modeling of phenomena in sports. He supports top level teams and sport federations in implementing new approaches in match analysis.
ISBN: 9783658211776$q(electronic bk.)
Standard No.: 10.1007/978-3-658-21177-6doiSubjects--Topical Terms:
806267
Soccer
--Data processing.--Germany
LC Class. No.: GV944.G3
Dewey Class. No.: 796.3340285
Data analytics in professional soccerperformance analysis based on spatiotemporal tracking data /
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performance analysis based on spatiotemporal tracking data /
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by Daniel Link.
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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.
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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.
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Computer Science (Springer-11645)
based on 0 review(s)
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電子館藏
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1 records • Pages 1 •
1
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Attachments
000000152564
電子館藏
1圖書
電子書
EB GV944.G3 L756 2018 2018
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0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-658-21177-6
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