The use of player tracking data to analyze defensive play in professional soccer - A scoping review Article Swipe
Leander Forcher
,
Stefan Altmann
,
Leon Forcher
,
Darko Jekauc
,
Matthias Kempe
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1177/17479541221075734
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1177/17479541221075734
The analysis of tracking data in tactical game analysis is a topic of rising interest, as more detailed insights into performance structure in soccer can be obtained compared to traditional (e.g. notational) analyzes. Compared to the variety and detailed analyzes of offensive play, the number of studies analyzing the defensive play is low. However, in recent years, an increasing number of studies investigating defensive play have been published, so it seems useful to provide an overview of the current state of research in this area. Therefore, this study aims to identify the approaches that have been used to analyze the defensive play in professional soccer using player tracking data and to reveal the findings on successful defensive play. A systematic literature search of electronic databases (PubMed ( n = 604), Web of Science ( n = 593), and SPORTDiscuss ( n = 872)) was conducted according to the PRISMA extension for Scoping Reviews (PRISMA-ScR). Studies that were included used tracking data of professional adult male soccer and analyzed defensive play. The result is a total of 23 studies that were analyzed in detail using the standardized quality assessment checklist for systematic reviews in sports science. The synthesis of results was carried out descriptively by organizing the results into different levels of tactical play (individual level, group level, team level). All included studies were of good methodological quality. The approaches to investigate defensive play using tracking data are highly heterogeneous (e.g. analysis of defensive pressure, analysis of synchronization, behavioral analyzes, ball recoveries). Successful defensive play is characterized by high pressure at the individual level, by high inter-team and intra-team synchronization and balanced defense at the group level, and by a compact coordinated organization at the team level. By summarizing the state of research on defensive play in soccer using sophisticated analysis approaches that showcase the possibilities of tracking data, this study provides an important foundation for future research in this area.
Related Topics
Concepts
Offensive
Psychology
Applied psychology
Checklist
Tracking (education)
Systematic review
Variety (cybernetics)
Quality (philosophy)
Scientific literature
Computer science
Operations research
Cognitive psychology
Artificial intelligence
MEDLINE
Engineering
Epistemology
Law
Biology
Paleontology
Philosophy
Pedagogy
Political science
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1177/17479541221075734
- OA Status
- green
- Cited By
- 45
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4210590305
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4210590305Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/17479541221075734Digital Object Identifier
- Title
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The use of player tracking data to analyze defensive play in professional soccer - A scoping reviewWork title
- Type
-
reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-02-04Full publication date if available
- Authors
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Leander Forcher, Stefan Altmann, Leon Forcher, Darko Jekauc, Matthias KempeList of authors in order
- Landing page
-
https://doi.org/10.1177/17479541221075734Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://research.rug.nl/en/publications/a8c8a4fe-ad7a-45d4-9658-3a972ffb6790Direct OA link when available
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Offensive, Psychology, Applied psychology, Checklist, Tracking (education), Systematic review, Variety (cybernetics), Quality (philosophy), Scientific literature, Computer science, Operations research, Cognitive psychology, Artificial intelligence, MEDLINE, Engineering, Epistemology, Law, Biology, Paleontology, Philosophy, Pedagogy, Political scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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45Total citation count in OpenAlex
- Citations by year (recent)
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2025: 18, 2024: 12, 2023: 9, 2022: 6Per-year citation counts (last 5 years)
- References (count)
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49Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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