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

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 coache...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Link, Daniel (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03686nam a2200505 4500
001 978-3-658-21177-6
003 DE-He213
005 20191027121104.0
007 cr nn 008mamaa
008 180216s2018 gw | s |||| 0|eng d
020 |a 9783658211776  |9 978-3-658-21177-6 
024 7 |a 10.1007/978-3-658-21177-6  |2 doi 
040 |d GrThAP 
050 4 |a Q334-342 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
100 1 |a Link, Daniel.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Data Analytics in Professional Soccer  |h [electronic resource] :  |b Performance Analysis Based on Spatiotemporal Tracking Data /  |c by Daniel Link. 
250 |a 1st ed. 2018. 
264 1 |a Wiesbaden :  |b Springer Fachmedien Wiesbaden :  |b Imprint: Springer Vieweg,  |c 2018. 
300 |a XIII, 123 p. 25 illus., 10 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
520 |a 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. 
650 0 |a Artificial intelligence. 
650 0 |a Optical data processing. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Sports sciences. 
650 1 4 |a Artificial Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/I21000 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics.  |0 http://scigraph.springernature.com/things/product-market-codes/I22005 
650 2 4 |a Mathematical and Computational Engineering.  |0 http://scigraph.springernature.com/things/product-market-codes/T11006 
650 2 4 |a Sport Science .  |0 http://scigraph.springernature.com/things/product-market-codes/L29010 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783658211769 
776 0 8 |i Printed edition:  |z 9783658211783 
856 4 0 |u https://doi.org/10.1007/978-3-658-21177-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)