Data analytics in professional soccer performance analysis based on spatiotemporal tracking data / Daniel Link ; with forewords by Martin Lames and Hendrik Weber.
| Author/creator | Link, Daniel |
| Format | Electronic |
| Publication Info | Wiesbaden, Germany : Springer Vieweg, [2018] |
| Description | x, 123 pages : illustrations (some color) ; 21 cm |
| Supplemental Content | Full text available from Springer Nature - Springer Computer Science eBooks 2018 English International |
| Supplemental Content | Full text available from Springer Books |
| Subjects |
| Abstract | 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. |
| Bibliography note | Includes bibliographical references (pages 107-123). |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2018934626 |
| ISBN | 3658211768 (pbk.) |
| ISBN | 9783658211769 (pbk.) |
| ISBN | (electronic bk.) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |