Evidence map›Paper›PMID 36247963›Full record

ArticleBiology of sport2022

Between-match variation of peak match running intensities in elite football.

Bradley Thoseby, Andrew D Govus, Anthea C Clarke, Kane J Middleton, Ben J Dascombe

Abstract read
In one paragraph

Article in Biology of sport, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

5 authors.

Bradley ThosebySport and Exercise Science, School of Allied Health, Human Services and Sport, La Trobe University, Australia.
Andrew D GovusSport and Exercise Science, School of Allied Health, Human Services and Sport, La Trobe University, Australia.
Anthea C ClarkeSport and Exercise Science, School of Allied Health, Human Services and Sport, La Trobe University, Australia.
Kane J MiddletonSport and Exercise Science, School of Allied Health, Human Services and Sport, La Trobe University, Australia.
Ben J DascombeApplied Sport Science and Exercise Testing Lab, University of Newcastle, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peak match running intensities have recently been introduced to quantify the peak running demands of football competition, across incremental time intervals, to inform training practices. However, their between-match variation is yet to be comprehensively reported, limiting the ability to determine meaningful changes in peak match running intensities. The current study aimed to quantify the between-match variability in peak match running intensities across discrete moving average durations (1-10 min). GPS data were collected from 44 elite football players across 68 matches (mean ± SD; 13 ± 10 observations per player). For inclusion players must have completed 70mins of a match across a minimum of two matches. Performance metrics included total and high-speed (> 19.8 km · h

Indexed as

FootballPeak match running intensitiesPeak running intensitiesSoccerTeam sportsVariability

Identifiers

PMID36247963
PMCPMC9536389

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.