Evidence map›Paper›PMID 41668934›Full record

ArticleBiology of sport2026

The loading impact of training and match-play on non-contact muscle injuries in elite male soccer players. A seasonal analysis.

Ryland Morgans, Rafael Oliveira, Mauro Mandorino, Piotr Zmijewski, Ben Ryan, Toni Modric, Jose Teixeira, Alexandre Moreira

Abstract read
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In one paragraph

Article in Biology of sport, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ryland MorgansSchool of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK.
Rafael OliveiraResearch Centre in Sport Sciences, Health Sciences and Human Development (CIDESD), Santarém Polytechnic University, 2040-413 Rio Maior, Portugal.
Mauro MandorinoPerformance and Analytics Department, Parma Calcio 1913, 43121 Parma, Italy.
Piotr ZmijewskiJozef Pilsudski University of Physical Education in Warsaw, 00-809 Warsaw, Poland.
Ben RyanBrentford FC Football Research Centre, Brentford FC, London, UK.
Toni ModricFaculty of Kinesiology, University of Split, Split, Croatia.
Jose TeixeiraResearch Centre in Sports, Health and Human Development, Covilhã, Portugal.
Alexandre MoreiraDepartment of Sport, School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the relationship between acute and chronic training load metrics and non-contact muscle injuries in elite soccer players employing a novel statistical approach. A retrospective analysis was conducted during the 2020/21 season on 30 senior outfield players from an English Premier League club. Global Positioning System (GPS) technology monitored total distance, high-speed running (HSR) distance (5.5-7 m/s), sprint distance (> 7 m/s), and peak speed during training sessions and matches. A total of 42 injuries were documented, with an incidence of 8.94 injuries per 1000 hours, although only 12 non-contact muscle injuries were included in the analysis that occurred at 2.5 per 1000 hours of exposure. Acute (7-day) and chronic (28-day) training loads were examined, and data preprocessing addressed missing values and multicollinearity. To address class imbalance, the dataset was balanced using the Synthetic Minority Over-Sampling Technique (SMOTE) prior to logistic regression. Four significant predictors were retained: acute HSR (β = -0.175,

Indexed as

External loadFootballHigh-speed runningNon-contact muscle injuriesSoccerSprinting

Identifiers

PMID41668934
PMCPMC12884896

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.