000 04220nam a22006015i 4500
001 978-3-319-59029-5
003 DE-He213
005 20220801213803.0
007 cr nn 008mamaa
008 171023s2018 sz | s |||| 0|eng d
020 _a9783319590295
_9978-3-319-59029-5
024 7 _a10.1007/978-3-319-59029-5
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aClemente, Filipe Manuel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934339
245 1 0 _aComputational Metrics for Soccer Analysis
_h[electronic resource] :
_bConnecting the dots /
_cby Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio F.P.P. Correia, Frutuoso G. M Silva, Fernando Manuel Lourenço Martins.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIII, 79 p. 27 illus., 21 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-5318
505 0 _aBrief review about computational metrics used in team sports -- How to use the dots to analyze the behavior and the collective organization -- Individual metrics to characterize the player’s behavior: variability in the trajectories and external load -- Metrics to measure the center of the team -- Metrics to measure the dispersion of the players -- Metrics to tactical analysis -- The use of computational metrics in case studies: from small-sided games to official 11 vs. 11.
520 _aThis book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a practical perspective on collective behavioural analysis, it introduces the computational metrics available in the literature that allow readers to identify collective behaviour and patterns of play in team sports. These metrics only require the bio-dimensional geo-referencing information from GPS or video-tracking systems to provide qualitative and quantitative information about the tactical behaviour of players and the inter-relationships between teammates and their opponents. Exercises, experimental cases and algorithms enable readers to fully comprehend how to compute these metrics, as well as introducing them to the ultimate performance analysis tool, which is the basis to run them on. The script to compute the metrics is presented in Python. The book is a valuable resource for professional analysts as well students and researchers in the field of sports analysis wanting to optimise the use of GPS trackers in soccer. .
650 0 _aTelecommunication.
_910437
650 0 _aSports sciences.
_932892
650 0 _aComputer science—Mathematics.
_931682
650 0 _aPython (Computer program language).
_96666
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aSport Science.
_932893
650 2 4 _aMathematical Applications in Computer Science.
_931683
650 2 4 _aPython.
_934340
700 1 _aSequeiros, João Bernardo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934341
700 1 _aCorreia, Acácio F.P.P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934342
700 1 _aSilva, Frutuoso G. M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934343
700 1 _aMartins, Fernando Manuel Lourenço.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_934344
710 2 _aSpringerLink (Online service)
_934345
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319590288
776 0 8 _iPrinted edition:
_z9783319590301
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-5318
_934346
856 4 0 _uhttps://doi.org/10.1007/978-3-319-59029-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75595
_d75595