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- Innovative Approaches for Analyzing Soccer Data
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
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.
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Authors and Affiliations
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Faculty of Sports and Health Science, Technical University of Munich, Munich, Germany
Daniel Link
About 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.
Bibliographic Information
Book Title: Data Analytics in Professional Soccer
Book Subtitle: Performance Analysis Based on Spatiotemporal Tracking Data
Authors: Daniel Link
DOI: https://doi.org/10.1007/978-3-658-21177-6
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2018
Softcover ISBN: 978-3-658-21176-9Published: 26 February 2018
eBook ISBN: 978-3-658-21177-6Published: 16 February 2018
Edition Number: 1
Number of Pages: XIII, 123
Number of Illustrations: 15 b/w illustrations, 10 illustrations in colour
Topics: Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Mathematical and Computational Engineering, Sport Science