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© 2018

Computational Metrics for Soccer Analysis

Connecting the dots

Book

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio F. P. P. Correia, Frutuoso G. M. Silva, Fernando Manuel Lourenço Martins
    Pages 1-6
  3. Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio F. P. P. Correia, Frutuoso G. M. Silva, Fernando Manuel Lourenço Martins
    Pages 7-13
  4. Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio F. P. P. Correia, Frutuoso G. M. Silva, Fernando Manuel Lourenço Martins
    Pages 15-31
  5. Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio F. P. P. Correia, Frutuoso G. M. Silva, Fernando Manuel Lourenço Martins
    Pages 33-42
  6. Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio F. P. P. Correia, Frutuoso G. M. Silva, Fernando Manuel Lourenço Martins
    Pages 43-53
  7. Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio F. P. P. Correia, Frutuoso G. M. Silva, Fernando Manuel Lourenço Martins
    Pages 55-78
  8. Back Matter
    Pages 79-79

About this book

Introduction

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. 

Keywords

Computational Tactile Metrics Match Analysis Soccer analysis GPS in soccer Performance Analysis Tool Moving Dots Group Behaviour

Authors and affiliations

  1. 1.Delegação da CovilhãInstituto de TelecomunicaçõesCovilhãPortugal
  2. 2.Delegação da CovilhãInstituto de TelecomunicaçõesCovilhãPortugal
  3. 3.Delegação da CovilhãInstituto de Telecomunicações Delegação da CovilhãCovilhãPortugal
  4. 4.Delegação da CovilhãUniversidade da Beira InteriorCovilhãPortugal
  5. 5.Departamento de Educação, Escola Superior de EducaçãoInstituto Politécnico de Coimbra, IIA, RoboCorp, ASSERTCoimbraPortugal

Bibliographic information

  • Book Title Computational Metrics for Soccer Analysis
  • Book Subtitle Connecting the dots
  • Authors Filipe Manuel Clemente
    João Bernardo Sequeiros
    Acácio F.P.P. Correia
    Frutuoso G. M Silva
    Fernando Manuel Lourenço Martins
  • Series Title SpringerBriefs in Applied Sciences and Technology
  • Series Abbreviated Title SpringerBriefs in Applied Sciences
  • DOI https://doi.org/10.1007/978-3-319-59029-5
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-3-319-59028-8
  • eBook ISBN 978-3-319-59029-5
  • Series ISSN 2191-530X
  • Series E-ISSN 2191-5318
  • Edition Number 1
  • Number of Pages XIII, 79
  • Number of Illustrations 6 b/w illustrations, 21 illustrations in colour
  • Topics Communications Engineering, Networks
    Sport Science
    Information and Communication, Circuits
    Python
  • Buy this book on publisher's site
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Reviews

“I truly believe that the information generated in this way should be highly valuable for soccer coaches, in particular to improve the tactical behavior of a team.” (Christian Meyer, SIAM Review, Vol. 61 (4), December, 2019)