Evidence map›Paper›PMID 36636193›Full record

ArticleBiology of sport2023

Contextualised high-intensity running profiles of elite football players with reference to general and specialised tactical roles.

Wonwoo Ju, Dominic Doran, Richard Hawkins, Mark Evans, Andy Laws, Paul S Bradley

Abstract read
In one paragraph

Article in Biology of sport, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–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

46 citing papers in PubMed.

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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

6 authors.

Wonwoo JuThe Research Institution for Sport and Exercise Sciences at Liverpool John Moores University, Liverpool, England, UK.
Dominic DoranThe Research Institution for Sport and Exercise Sciences at Liverpool John Moores University, Liverpool, England, UK.
Richard HawkinsFootball Medicine and Science Department at Manchester United Football Club, Manchester, UK.
Mark EvansDepartment of Computer Science, Liverpool John Moores University, Liverpool, UK.
Andy LawsDepartment of Computer Science, Liverpool John Moores University, Liverpool, UK.
Paul S BradleyFootball Science Consultant, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to contextualise physical metrics with tactical actions according to general and specialised tactical roles. A total of 244 English Premier League players were analysed by coding player's physical-tactical actions via the fusion of tracking data and video. Data were analysed across 5 general (Central Defensive Players = CDP, Wide Defensive Players = WDP, Central Midfield Players = CMP, Wide Offensive Players = WOP, Central Offensive Players = COP) and 11 specialised positions (Centre Backs = CB, Full-Backs = FB, Wing-Backs = WB, Box-to-Box Midfielders = B2BM, Central Defensive Midfielders = CDM, Central Attacking Midfielders = CAM, Wide Midfielders = WM, Wide Forwards = WF, Centre Forwards = CF). COP covered more distance at high-intensity (> 19.8 km · h

Indexed as

High-intensityMatch performancePhysical-tactical dataPositionsSoccer

Identifiers

PMID36636193
PMCPMC9806759

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
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.