Computational Metrics for Soccer Analysis (Record no. 75595)

000 -LEADER
fixed length control field 04220nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-3-319-59029-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801213803.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 171023s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319590295
-- 978-3-319-59029-5
082 04 - CLASSIFICATION NUMBER
Call Number 621.382
100 1# - AUTHOR NAME
Author Clemente, Filipe Manuel.
245 10 - TITLE STATEMENT
Title Computational Metrics for Soccer Analysis
Sub Title Connecting the dots /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 79 p. 27 illus., 21 illus. in color.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Applied Sciences and Technology,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Brief 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 ## - SUMMARY, ETC.
Summary, etc This 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. .
700 1# - AUTHOR 2
Author 2 Sequeiros, João Bernardo.
700 1# - AUTHOR 2
Author 2 Correia, Acácio F.P.P.
700 1# - AUTHOR 2
Author 2 Silva, Frutuoso G. M.
700 1# - AUTHOR 2
Author 2 Martins, Fernando Manuel Lourenço.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-59029-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Telecommunication.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Sports sciences.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science—Mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Python (Computer program language).
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Sport Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical Applications in Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Python.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2191-5318
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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