Evidence map›Paper›PMID 36405022›Full record

SynthesisPeerJ2022

Integrating physical and tactical factors in football using positional data: a systematic review.

José Eduardo Teixeira, Pedro Forte, Ricardo Ferraz, Luís Branquinho, António José Silva, António Miguel Monteiro, Tiago M Barbosa

Abstract readSystematic Review
In one paragraph

Synthesis in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. The Aging Curve: How Age Affects Physical Performance in Elite Football.Journal of functional morphology and kinesiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

José Eduardo TeixeiraResearch Center in Sports Sciences, Health Sciences and Human Development, Vila Real, Portugal.
Pedro ForteResearch Center in Sports Sciences, Health Sciences and Human Development, Vila Real, Portugal.
Ricardo FerrazResearch Center in Sports Sciences, Health Sciences and Human Development, Vila Real, Portugal.
Luís BranquinhoResearch Center in Sports Sciences, Health Sciences and Human Development, Vila Real, Portugal.ORCID 0000-0001-9000-5419
António José SilvaResearch Center in Sports Sciences, Health Sciences and Human Development, Vila Real, Portugal.
António Miguel MonteiroResearch Center in Sports Sciences, Health Sciences and Human Development, Vila Real, Portugal.
Tiago M BarbosaResearch Center in Sports Sciences, Health Sciences and Human Development, Vila Real, Portugal.ORCID 0000-0001-7071-2116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Positional data have been used to capture physical and tactical factors in football, however current research is now looking to apply spatiotemporal parameters from an integrative perspective. Thus, the aim of this article was to systematically review the published articles that integrate physical and tactical variables in football using positional data. Methods and Materials: Following the Preferred Reporting Item for Systematic Reviews and Meta-analyses (PRISMA), a systematic search of relevant English-language articles was performed from earliest record to August 2021. The methodological quality of the studies was evaluated using the modified Downs and Black Quality Index (observational and cross-sectional studies) and the Physiotherapy Evidence Database (PEDro) scale (intervention studies). Results: The literature search returned 982 articles (WoS = 495; PubMed = 232 and SportDiscus = 255). After screening, 26 full-text articles met the inclusion criteria and data extraction was conducted. All studies considered the integration of physical and tactical variables in football using positional data ( Conclusions: Among the current systematic review, the physical data can be integrated by player's movement speed. Positional datasets can be computed by spatial movement, complex indexes, playing areas, intra-team and inter-team dyads. Futures researches should consider applying positional data in women's football environments and explore the representativeness of the MSG and LSG.

Indexed as

Athletic PerformanceSoccerCross-Sectional StudiesDatabases, FactualFemaleHumansComplexityMatchMovementSoccerSportsTracking systemsTraining

Identifiers

PMID36405022
PMCPMC9671036

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.