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Data Analytics in Professional Soccer = Performance Analysis Based on Spatiotemporal Tracking Data /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Analytics in Professional Soccer/ by Daniel Link.
Reminder of title:	Performance Analysis Based on Spatiotemporal Tracking Data /
Author:	Link, Daniel.
Description:	XIII, 123 p. 25 illus., 10 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-658-21177-6
ISBN:	9783658211776

Data Analytics in Professional Soccer = Performance Analysis Based on Spatiotemporal Tracking Data /
Link, Daniel.

Data Analytics in Professional SoccerPerformance Analysis Based on Spatiotemporal Tracking Data /[electronic resource] :by Daniel Link. - 1st ed. 2018. - XIII, 123 p. 25 illus., 10 illus. in color.online resource.

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

Standard No.: 10.1007/978-3-658-21177-6doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Data Analytics in Professional Soccer = Performance Analysis Based on Spatiotemporal Tracking Data /
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