Evidence map›Paper›PMID 41602809›Full record

ArticleFrontiers in sports and active living2025

Intra and inter variation in training load, recovery state and technical-tactical performance across a standard microcycle in Sub-elite youth football players.

Pedro Afonso, Pedro Forte, Luís Branquinho, Ricardo Ferraz, Nuno Domingos Garrido, José Eduardo Teixeira

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Pedro AfonsoBiosciences Higher School of Elvas, Polytechnic Institute of Portalegre, Portalegre, Portugal.
Pedro ForteResearch Centre for Active Living and Wellbeing (Livewell), Instituto Politécnico de Bragança, Bragança, Portugal.
Luís BranquinhoBiosciences Higher School of Elvas, Polytechnic Institute of Portalegre, Portalegre, Portugal.
Ricardo FerrazDepartment of Sport Sciences, University of Beira Interior, Covilhã, Portugal.
Nuno Domingos GarridoDepartment of Sport, Exercise and Health Sciences, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal.
José Eduardo TeixeiraDepartment of Sports Sciences, Polytechnic Institute of Guarda, Guarda, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Monitoring youth football requires integrating physical, perceptual, recovery, and tactical dimensions. However, evidence in younger sub-elite cohorts (U11-U13) remains scarce. This study aimed to analyze intra and inter variation in external load, internal load, recovery, and technical-tactical indicators across a competitive microcycle, comparing U11 and U13 sub-elite players. We hypothesized that (i) the match would elicit the highest objective intensities, while training would be perceived as more demanding, and (ii) U13 players would outperform U11 in high-intensity and tactical outcomes, whereas U11 would show higher perceived exertion and greater motor irregularity. Methods: Forty male sub-elite players (U11 = 30; U13 = 10) were monitored across a competitive microcycle (MD-4 to MD). External load was assessed via GPS (TD, AvS, HSR, HID, sprints, MRS, ACC, DEC), internal load through HR (U13 only) and session-RPE, recovery via TQR, and technical-tactical performance using FUT-SAT (DMI, MEI). Results: The match elicited the highest intensities in HSR, MRS, AvS, and HID, while all training sessions were perceived as ∼400 AU more demanding in sRPE than MD. U13 players outperformed U11 in intensity-and velocity-based measures (HSR +166%, sprints +150%, MRS +5%), while U11 showed higher TD (+10%), ACC (+23%), DEC (+29%), and sRPE (+6%). HR data in U13 revealed greater Z5 exposure in MD-4 vs. MD-1 and higher Z2 time on MD-1. In the tactical domain, U13 displayed superior offensive coverage effectiveness in both DMI and MEI, with no differences in other principles. Discussion: These findings demonstrate that the microcycle followed a structured pattern, with matches concentrating objective intensity and training sessions eliciting greater perceived effort. Practically, training for U11 should emphasize motor efficiency and load regulation, while U13 programs should target high-intensity capacity and tactical coordination. Over time, integrating multidimensional monitoring (GPS, sRPE, TQR, FUT-SAT) may guide coaches in aligning training stimuli with long-term development goals, bridging physical, perceptual, and tactical competencies in sub-elite youth football.

Indexed as

recoverysub-elitetactical performancetraining loadyouth football

Identifiers

PMID41602809
PMCPMC12833270

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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.