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https://hdl.handle.net/1959.11/52538
Title: | How fast is fast? Defining velocity zones in women's rugby league |
Contributor(s): | Cummins, Cloe (author) ; Charlton, Glen (author); Paul, David (author) ; Buxton, Simon (author); Murphy, Aron (author) |
Publication Date: | 2023 |
Early Online Version: | 2022-04-21 |
DOI: | 10.1080/24733938.2022.2062438 |
Handle Link: | https://hdl.handle.net/1959.11/52538 |
Abstract: | | Objectives: The study aimed to: 1) apply a data-mining approach to identify velocity zone thresholds for female rugby league players and 2) apply these velocity zones to examine the locomotor demands of match-play.
Methods: Microtechnology data were collected from elite female rugby league players representing all National Rugby League Women's teams (n = 85 players" n = 224 files) over one season. Spectral clustering with a beta smoothing cut-off of 0.1 was applied to each player's instantaneous match-play velocity data for the identification of four zones. To account for outliers within repeated data-points, the velocity zones for each player were calculated as the median. The overarching velocity zones were determined through an incremental search to minimise the root mean square error.
Results: Through a data-mining approach, four velocity zones were determined. Rounded to the nearest 0.5 km.h−1 the velocity values across each zone were classified as low (<11.49 km.h−1), moderate (11.50 to 17.49 km.h−1), high (17.50 to 20.99 km.h−1) and very-high (>21.00 km.h−1). Practical application of the zones demonstrated positional group differences in the absolute (effect size (ES): 0.03 to 1.77) and relative (ES: 0.04 to 1.60) locomotor demands of match-play. The back positional group covered greater absolute and relative distances at a very-high velocity than all other positions.
Conclusions: This work informs the velocity zones that could be applied consistently to women's rugby league data within practical (i.e., in the training and monitoring of players) and academic (i.e., as a model for future research to analyse locomotor demands) settings.
Publication Type: | Journal Article |
Source of Publication: | Science and Medicine in Football, 7(2), p. 165-170 |
Publisher: | Taylor & Francis |
Place of Publication: | United Kingdom |
ISSN: | 2473-4446 2473-3938 |
Fields of Research (FoR) 2020: | 420702 Exercise physiology 460102 Applications in health |
Socio-Economic Objective (SEO) 2020: | 130602 Organised sports |
Peer Reviewed: | Yes |
HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
Appears in Collections: | Journal Article School of Science and Technology
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