Evidence map›Paper›PMID 31877942›Full record

ArticleSports (Basel, Switzerland)2019

Positional Differences in Peak- and Accumulated- Training Load Relative to Match Load in Elite Football.

Ivan Baptista, Dag Johansen, Pedro Figueiredo, António Rebelo, Svein A Pettersen

Abstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Monitoring Accumulated Training and Match Load in Football: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Trial
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  6. Return to performance criteria in soccer after musculoskeletal injury: A scoping review.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
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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.

Ivan BaptistaSchool of Sport Sciences, University of Tromsø-The Arctic University of Norway, 9037 Tromsø, Norway.
Dag JohansenComputer Science Department, University of Tromsø-The Arctic University of Norway, 9037 Tromsø, Norway.
Pedro FigueiredoPortugal Football School, Portuguese Football Federation, 1495-433 Oeiras, Portugal.ORCID 0000-0001-5515-3694
António RebeloCenter of Research, Education, Innovation and Intervention in Sport, Faculty of Sports, University of Porto, 4200-450 Porto, Portugal.ORCID 0000-0001-9105-7421
Svein A PettersenSchool of Sport Sciences, University of Tromsø-The Arctic University of Norway, 9037 Tromsø, Norway.ORCID 0000-0003-4700-0529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantification of training and match load is an important method to personalize the training stimulus' prescription to players according to their match demands. The present study used time-motion analysis and triaxial-accelerometer to quantify and compare: a) The most demanding passages of play in training sessions and matches (5-min peaks); b) and the accumulated load of typical microcycles and official matches, by playing position. Players performance data in 15 official home matches and 11 in-season microcycles were collected for analysis. Players were divided into four different playing positions: Centre-backs, wing-backs, centre midfielders, and centre forwards. The results show that match demands were overperformed for acceleration counts (acc

Indexed as

accelerationsexternal loadhigh-intensity runsmicrocycleplaying positionsprints

Identifiers

PMID31877942
PMCPMC7023441

What OpenQuestion holds

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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.