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Performance and Micro‑Pacing Strategies in Biathlon Skiing
Mid Sweden University, Faculty of Human Sciences, Department of Health Sciences (HOV). (Swedish Winter Sports Research Centre)ORCID iD: 0000-0001-8023-1498
Mid Sweden University, Faculty of Human Sciences, Department of Health Sciences (HOV). (Swedish Winter Sports Research Centre)ORCID iD: 0000-0003-1353-7950
Mid Sweden University, Faculty of Human Sciences, Department of Health Sciences (HOV). (Swedish Winter Sports Research Centre)ORCID iD: 0000-0002-7781-8164
Mid Sweden University, Faculty of Human Sciences, Department of Health Sciences (HOV). (Swedish Winter Sports Research Centre)ORCID iD: 0000-0002-5574-8679
2024 (English)In: Journal of Science in Sport and Exercise, ISSN 2096-6709, E-ISSN 2662-1371, Vol. 6, no 4, p. 324-331Article in journal (Refereed) Published
Abstract [en]

Purpose To examine the micro-pacing (within-lap) strategies during biathlon skiing with and without the biathlon rifle. Methods Twenty biathletes (7 women, 13 men) performed two crosscountry skiing time-trials on a ≈2300 m course, once with and once without the biathlon rifle. During time-trials, biathletes wore a sensor that recorded position, distance and skiing-speed. A trajectory correction and statistical parametric mapping procedure determined the course positions (clusters) where instantaneous skiing-speed was significantly related to time-trial performance. The time differences between the fastest and slowest skier in these clusters were calculated. Results The fastest biathletes skied with greater instantaneous speeds in specific clusters, which included both uphill and downhill sections. The clusters represented time gains for the fastest skier over the slowest skier of between 16.1 and 25.8 s for the women and between 18.9 and 21.9 s for the men. The largest time gains between the fastest and slowest biathletes were observed in a downhill section that was preceded by a 180° turn, where time gains were between 2.9 and 4.1 s in clusters of between just 12 to 62 m. In biathlon skiing with-rifle, there were more clusters that were not present during without-rifle. When skiing with-rifle, there were additional clusters in the uphill sections that represented time gains of 5.2 s and 2.3 s for the women and men, respectively. Conclusions Statistical parametric mapping can be used in biathlon to provide pacing and performance feedback to athletes and coaches.

Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 6, no 4, p. 324-331
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:miun:diva-48478DOI: 10.1007/s42978-023-00237-wISI: 001093299500001Scopus ID: 2-s2.0-85161474357OAI: oai:DiVA.org:miun-48478DiVA, id: diva2:1765811
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Mid Sweden UniversityAvailable from: 2023-06-12 Created: 2023-06-12 Last updated: 2024-11-01Bibliographically approved

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Staunton, Craig A.Jonsson Kårström, MalinBjörklund, GlennLaaksonen, Marko S.

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Staunton, Craig A.Jonsson Kårström, MalinBjörklund, GlennLaaksonen, Marko S.
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Journal of Science in Sport and Exercise
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