03892nam 22005895 450 991029929820332120200702104854.03-658-21177-610.1007/978-3-658-21177-6(CKB)3840000000347974(MiAaPQ)EBC5301899(DE-He213)978-3-658-21177-6(PPN)224637568(EXLCZ)99384000000034797420180216d2018 u| 0engurcnu||||||||rdacontentrdamediardacarrierData Analytics in Professional Soccer Performance Analysis Based on Spatiotemporal Tracking Data /by Daniel Link1st ed. 2018.Wiesbaden :Springer Fachmedien Wiesbaden :Imprint: Springer Vieweg,2018.1 online resource (130 pages) illustrations3-658-21176-8 Includes bibliographical references.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.Artificial intelligenceOptical data processingApplied mathematicsEngineering mathematicsSports sciencesArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer Imaging, Vision, Pattern Recognition and Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22005Mathematical and Computational Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T11006Sport Science https://scigraph.springernature.com/ontologies/product-market-codes/L29010Artificial intelligence.Optical data processing.Applied mathematics.Engineering mathematics.Sports sciences.Artificial Intelligence.Computer Imaging, Vision, Pattern Recognition and Graphics.Mathematical and Computational Engineering.Sport Science .796.3340943Link Danielauthttp://id.loc.gov/vocabulary/relators/aut921509BOOK9910299298203321Data Analytics in Professional Soccer2067161UNINA