Evidence map›Paper›PMID 39462989›Full record

ArticleEuropean journal of sport science2024

Contextualised physical metrics: The physical demands vary with phase of play during elite soccer match play.

Benjamin W C Jerome, Michael Stoeckl, Ben Mackriell, Christian W Dawson, Daniel T P Fong, Jonathan P Folland

Abstract read
In one paragraph

Article in European journal of sport science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Benjamin W C JeromeSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire, UK.ORCID https://orcid.org/0000-0003-0257-7885
Michael StoecklStats Perform, Chicago, Illinois, USA.
Ben MackriellStats Perform, Chicago, Illinois, USA.
Christian W DawsonDepartment of Computer Science, Loughborough University, Loughborough, Leicestershire, UK.
Daniel T P FongSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire, UK.
Jonathan P FollandSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire, UK.

Funding

Loughborough UniversityStats Perform
6 · The paper itself

Abstract

The physical demands of elite soccer match play have traditionally been measured using aggregated whole-match metrics. However, match play is increasingly considered as distinct phases of play, although the influence of phase of play on match physical demands remains largely unknown. This study compared physical intensity, acceleration and deceleration demands, between phases of play and according to playing position. The duration of each match from a major European league (n = 1083) was divided into one of five reciprocal phases (for the in-/out-of-possession team) using event and tracking data: build-up/high-block, progression/mid-block, chance creation/low-block, fast attack/fast defence, or attacking transition/defensive transition. Player tracking data were used to calculate physical intensity as the rate of distance covered (m⋅min

Indexed as

AccelerationAthletic PerformanceDecelerationSoccerCompetitive BehaviorHumansRunningphase of playphysical demandssoccer

Identifiers

PMID39462989
PMCPMC11534638

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.