Evidence map›Paper›PMID 41331491›Full record

ArticleBMC sports science, medicine & rehabilitation2025

Physical performance profiling in Moroccan women's football: a functional assessment from the Rabat-Salé-Kénitra regional league.

Mohammed Benhida, Lotfi Zeghari, Khalid El Mouahid, Said El Morchidy, Youssef El Madhi, Nourddine Enneya, Fatima-Zahra Guerss

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Article in BMC sports science, medicine & rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

7 authors.

Mohammed BenhidaResearch Laboratory in Computer Science, Faculty of Sciences, Ibn Tofail University, Kénitra, Morocco. mohammed.benhida1@uit.ac.ma.ORCID http://orcid.org/0009-0000-7842-4901
Lotfi ZeghariSport Science Institute, Sidi Mohamed Ben Abdellah University, Fez, Morocco.ORCID http://orcid.org/0000-0001-6769-6864
Khalid El MouahidLaboratory of Sport Sciences and Performance Optimization, Royal Institute for Training Cadres (IRFC), Salé, Morocco.ORCID http://orcid.org/0009-0006-5476-4673
Said El MorchidyResearch Laboratory in Computer Science, Faculty of Sciences, Ibn Tofail University, Kénitra, Morocco.ORCID http://orcid.org/0009-0008-4239-0680
Youssef El MadhiLaboratory for Education, Environment and Health, Regional Center for Education and Training (CRMEF), Rabat, Morocco.ORCID http://orcid.org/0000-0002-2493-5121
Nourddine EnneyaResearch Laboratory in Computer Science, Faculty of Sciences, Ibn Tofail University, Kénitra, Morocco.ORCID http://orcid.org/0000-0001-7423-2339
Fatima-Zahra GuerssResearch Laboratory in Computer Science, Faculty of Sciences, Ibn Tofail University, Kénitra, Morocco.ORCID http://orcid.org/0000-0002-5080-5830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to establish normative physical performance profiles for Moroccan female football players across three competition levels and four age categories. Despite the recent growth of women’s football in Morocco, evidence-based data on physical capacities remain scarce. Developing standardized performance benchmarks is essential for guiding talent identification and individualized training strategies.

methodsA total of 109 female footballers (aged 14–32 years), from five clubs competing across three levels of the Moroccan national championship, underwent a standardized test battery including sprint tests (10, 20, 30 m), coordination sprint (20 m slalom), countermovement jump with and without arm swing (CMJ and CMJmax), squat jump (SJ), drop jump (DJ), a 15 s repeated jump test, horizontal jump, 30-second abdominal test, medicine-ball throw, Vameval test for maximal aerobic speed (MAS), and Ruffier–Dickson recovery test. Players were grouped by competitive level, age category, and playing position. Reliability analysis in a sub-sample (n = 15) confirmed high reproducibility (ICC = 0.87–0.95; CV = 3.8–5.8%). Group comparisons were conducted using ANOVA/ANCOVA, with age as a covariate and partial eta-squared (η²p) as effect size.

resultsSignificant age effects were found for CMJ-BL (p = 0.021, η²p = 0.105) and MAS (p = 0.001, η²p = 0.175), with senior players outperforming younger categories, while 10 m sprint times did not differ (p = 0.147). Across competition levels, second-division players showed superior vertical and horizontal jumps (p < 0.05), greater abdominal endurance, and better Ruffier–Dickson recovery indices (6.19 ± 1.2) compared with first-division (8.07 ± 1.4) and regional players (8.97 ± 1.8). First-division athletes maintained faster 30 m sprint times (p = 0.004, η²p = 0.10), while coordination sprint performance was higher in D1–D2 players than in regional ones (p < 0.05, η²p = 0.08–0.12). No positional differences were detected for CMJ, MAS, or sprint (all p > 0.15, η²p < 0.05), likely reflecting generalized conditioning practices and uneven subgroup sizes.

conclusionsMoroccan female footballers exhibit heterogeneous performance profiles, with marked variability in jump capacity, aerobic endurance, and recovery indices across competition levels and age categories. The superior performance of second-division players in selected tests may reflect differences in training emphasis, with greater focus on core and endurance conditioning. These findings underscore the importance of individualized, data-driven preparation strategies and standardized monitoring frameworks. PRACTICAL IMPLICATIONS: Integrating standardized physical profiling into Moroccan women’s football can optimize individualized conditioning, refine talent identification, and align domestic training models with international performance standards.

Indexed as

Athlete monitoringEnduranceOptojumpPerformance testingSprint

Identifiers

PMID41331491
PMCPMC12781389

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.