Abstract
In the context of training load monitoring, the most demanding periods of play (MDPs) have increasingly caught the interest of researchers. However, the MDPs analysis is currently embryonic, raising some conceptual and methodological questions. This current opinion synthesizes the methods used for the MDPs analysis while highlighting conceptual and methodological gaps and proposing a broader perspective on the topic. It is underlined that (a) the information available on the MDPs is mostly limited to external load (particularly running-based metrics), with scarce research focused on internal load; (b) the metrics have been analyzed in a univariate way, neglecting the multivariate scenarios from which the MDPs emerge; (c) the MDPs are highly variable over time due to the complex interaction between individual, tactical-technical, and contextual factors; and (d) scarce evidence is available regarding the contextualization of the MDPs from a tactical-technical perspective. Thus, the MDPs would benefit from cross-referencing external load with game moments and tactical actions while avoiding the idea of fixed benchmarks given the inherent match-to-match variability. Practitioners may consider replicating the MDPs (and their contexts) in (some?) training sessions as a complementary prescription strategy (metaphorically, the cherry on top, not the cake). However, the feasibility and effectiveness of such practices warrant investigation.
Original language | English |
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Pages (from-to) | 86-94 |
Number of pages | 9 |
Journal | Strength and Conditioning Journal |
Volume | 47 |
Issue number | 1 |
DOIs | |
Publication status | Published - 19 Jul 2024 |
Bibliographical note
Publisher Copyright:Copyright © National Strength and Conditioning Association.
Funding
Conflicts of Interest and Source of Funding: Jo\u00E3o Lino-Mesquita is currently receiving a research grant (grant number 2022.11239.BD) from The Foundation for Science and Technology (FCT). All research under the affiliation CIFID should be considered financed by the Portuguese Foundation for Science and Technology, under the DOI https://doi.org/10.54499/UIDB/05913/2020 . The remaining authors have no conflicts of interest or funding to report. 2
Funders | Funder number |
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Fundação para a Ciência e a Tecnologia |
Keywords
- match analysis
- peak periods
- performance
- team sports
- training load
- worst-case scenarios