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Computational Metrics for Soccer Analysis

Connecting the dots

  • Filipe Manuel Clemente
  • João Bernardo Sequeiros
  • Acácio Correia
  • Frutuoso G. M Silva
  • Fernando Manuel Lourenço Martins

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

  • Filipe Manuel Clemente
    • 1
  • João Bernardo Sequeiros
    • 2
  • Acácio Correia
    • 3
  • Frutuoso G. M Silva
    • 4
  • Fernando Manuel Lourenço Martins
    • 5
  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

  • DOI https://doi.org/10.1007/978-3-319-59029-5
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-59028-8
  • Online ISBN 978-3-319-59029-5
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site