Navigating team tactical analysis in football: An analytical pipeline leveraging player tracking technology

Team tactical behaviour in football can be analysed using positional data. Global navigation satellite systems (GNSS) track players’ positions on the pitch and provide data on latitude and longitude positioning. However, data pre-processing is required for GNSS positional data prior to tactical analysis, which varies across studies and is scarcely reported. This lack of standardisation poses a challenge to the application and reproducibility of earlier findings. Therefore, Study 1 aimed to establish an analytical pipeline for tactical analysis, addressing typical data processing issues. Study 2 aimed to deploy this pipeline as a proof of concept, comparing team tactical behaviour across in-possession, out-of-possession, and transition phases in a competitive match. Independent positional datasets from different GNSS devices were used in two studies. Study 1 presented an analytical pipeline providing solutions for map projection, rotation matrix application, and handling missing values in data from small-sided games. Study 2 applied the pipeline to match data and revealed significant differences in team tactical behaviour across match phases. The analytical pipeline demonstrated its generalisability to match and training scenarios as well as across different tracking devices, allowing practitioners and scientists to advance tactical analysis in team sports using player tracking technology. This pipeline warrants disclosing processing procedures and the synchronisation of positional and event data to improve the reliability of findings.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology
Published
2025-11-23
DOI
https://doi.org/10.1177/17543371251392456
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
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article

Navigating team tactical analysis in football: An analytical pipeline leveraging player tracking technology

Hugo Folgado, Matthias Kempe, Guangze Zhang, Sigrid Olthof et al.
Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology
Sports Performance and Training
article

Navigating team tactical analysis in football: An analytical pipeline leveraging player tracking technology

Hugo Folgado, Matthias Kempe, Guangze Zhang, Sigrid Olthof, Allistair P. McRobert
article en

Abstract

Team tactical behaviour in football can be analysed using positional data. Global navigation satellite systems (GNSS) track players’ positions on the pitch and provide data on latitude and longitude positioning. However, data pre-processing is required for GNSS positional data prior to tactical analysis, which varies across studies and is scarcely reported. This lack of standardisation poses a challenge to the application and reproducibility of earlier findings. Therefore, Study 1 aimed to establish an analytical pipeline for tactical analysis, addressing typical data processing issues. Study 2 aimed to deploy this pipeline as a proof of concept, comparing team tactical behaviour across in-possession, out-of-possession, and transition phases in a competitive match. Independent positional datasets from different GNSS devices were used in two studies. Study 1 presented an analytical pipeline providing solutions for map projection, rotation matrix application, and handling missing values in data from small-sided games. Study 2 applied the pipeline to match data and revealed significant differences in team tactical behaviour across match phases. The analytical pipeline demonstrated its generalisability to match and training scenarios as well as across different tracking devices, allowing practitioners and scientists to advance tactical analysis in team sports using player tracking technology. This pipeline warrants disclosing processing procedures and the synchronisation of positional and event data to improve the reliability of findings.

Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology
University of Vienna (AT), University Medical Center Groningen (NL), University of Groningen (NL), University of Évora (PT), Liverpool John Moores University (GB), Saarland University (DE)
Openalex Percentile: Top 54%
Sports Performance and Training
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