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Computational metrics for soccer ana...

Clemente, Filipe Manuel.

Computational metrics for soccer analysisconnecting the dots /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational metrics for soccer analysisby Filipe Manuel Clemente ... [et al.].
Reminder of title:	connecting the dots /
other author:	Clemente, Filipe Manuel.
Published:	Cham :Springer International Publishing :2018.
Description:	xiii, 79 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	SoccerMathematics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-59029-5
ISBN:	9783319590295$q(electronic bk.)

Computational metrics for soccer analysisconnecting the dots /
Computational metrics for soccer analysisconnecting the dots /[electronic resource] :by Filipe Manuel Clemente ... [et al.]. - Cham :Springer International Publishing :2018. - xiii, 79 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

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.

ISBN: 9783319590295$q(electronic bk.)

Standard No.: 10.1007/978-3-319-59029-5doiSubjects--Topical Terms:

801274
Soccer
--Mathematics.

LC Class. No.: GV943 / .C54 2018

Dewey Class. No.: 796.3342

Computational metrics for soccer analysisconnecting the dots /
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245 0 0 $a Computational metrics for soccer analysis $h [electronic resource] : $b connecting the dots / $c by Filipe Manuel Clemente ... [et al.].
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300 $a xiii, 79 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
520 $a 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.
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