BIBFRAME Work
Title
Computational Metrics for Soccer Analysis
Type
- Monograph
- Text
Contribution
- Sequeiros, João Bernardo (author)
- Silva, Frutuoso G. M. (author)
- Martins, Fernando Manuel Lourenço (author)
- Correia, Acácio F.P.P. (author)
- Clemente, Filipe Manuel (author)
Subject
- Electrical engineering (LCSH)
- L29010
- Information theory (LCSH)
- TJK
- Sports sciences (LCSH)
- TEC041000 (BISACSH)
- T24035
- M13038
- I29080
- Python (Computer program language) (LCSH)
Language
Classification
- LCC: TK1-9971 (Status: not used by assigner) (Status: upgraded prepub)
- DDC: 621.382
Content
Summary
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.
Table of Contents
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.
Authorized Access Point
Clemente, Filipe Manuel. Computational Metrics for Soccer Analysis
Admin Metadata
- Date: 2026-09-11T20:21:36.583305+00:00
- Agent: cbc
- Status: c
- Derived from: 21674586
Admin Metadata
- Date: 2026-09-11
- Cataloger id: Unknown
- Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
- Description language: eng
- Description authentication: pcc
Alternative Formats
Blue Core Actions
- Load to Marva Marva loads Instances, not Works. Open one of this Work's Instances and load that into Marva instead.
- Load to Sinopia
- Export to Catalog Only Instances can be exported. Open one of this Work's Instances and export that instead.