Evidence map›Paper›PMID 42099921›Full record

ArticleFrontiers in physiology2026

Peak external game demands are impacted by season phase but not match outcome or a mid-season coaching change in semi-professional, male basketball players.

Abel Ruiz-Álvarez, Enrique Alonso-Pérez-Chao, Álvaro Bustamante-Sánchez, Aaron T Scanlan, Miguel-Angel Gómez-Ruano

Abstract read
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Article in Frontiers in physiology, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Abel Ruiz-ÁlvarezFacultad de Ciencias de la Actividad Física y del Deporte, Universidad Politécnica de Madrid, Madrid, Spain.
Enrique Alonso-Pérez-ChaoFaculty of Medicine, Health and Sports, Department of Sports Sciences, Universidad Europea de Madrid, Madrid, Spain.
Álvaro Bustamante-SánchezFaculty of Medicine, Health and Sports, Department of Sports Sciences, Universidad Europea de Madrid, Madrid, Spain.
Aaron T ScanlanSchool of Health, Medical, and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia.
Miguel-Angel Gómez-RuanoFacultad de Ciencias de la Actividad Física y del Deporte, Universidad Politécnica de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Basketball competition imposes high physical demands on players. Quantifying the peak demands (PD) encountered is useful to identify the most intense passages of play, with more research needed to better understand factors that may impact PD. Therefore, this study aimed to examine the effects of season phase, match outcome, and a mid-season coaching change on PD in semi-professional, male basketball players. Methods: Eleven players from a single team competing in the Spanish fourth division were monitored across 33 official matches during the 2021-2022 season. PlayerLoad™ (PL) was measured using a validated local positioning system and analyzed across 30-s, 60-s, and 180-s rolling windows. Contextual variables included season phase (preseason, first half, second half, and promotion), match outcome (win and loss), and coaching change (before and after a mid-season change in head coach). Friedman and Wilcoxon tests were used to compare PD between conditions. Results: Season phase significantly (p <0.05) influenced PD across all time windows (30 s, 60 s, and 180 s), with higher values observed during the pre-season and promotion phases compared to both halves of the regular season. PD over 180 s was also higher in the pre-season than in the promotion phase. Regarding match outcome, PD over 30 s was significantly greater in losses than in wins (p = 0.0049, large effect), while 60 s and 180 s windows showed non-significant, large trends in the same direction. No significant differences were found in PD before versus after the mid-season coaching change, suggesting no meaningful impact on these external demands. Conclusion: These findings may help inform player training prescriptions and preparatory plans aligning with fluctuations in match demands across season phases.

Indexed as

contextual factorshigh-intensity periodsmonitoringplayer loadtraining periodization

Identifiers

PMID42099921
PMCPMC13143541

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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.