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Behind enemy lines: Expressing locomotor movements of athletes in the National Rugby League Women's (NRLW) competition relative to opposition data.
Minahan, Clare; Thornton, Heidi R; Bellinger, Phillip; Ward, Jonathan; Lovell, Dale; Buxton, Simon; Newans, Tim.
Afiliação
  • Minahan C; Griffith Sports Science, Griffith University, Gold Coast, QLD, Australia.
  • Thornton HR; Australian Institute of Sport, Australian Sport Commission, Gold Coast, ACT, Australia.
  • Bellinger P; Football Department, Gold Coast Suns Football Club, Gold Coast, QLD, Australia.
  • Ward J; Applied Sports Science and Exercise Testing Laboratory, University of Newcastle, Ourimbah, Australia.
  • Lovell D; Griffith Sports Science, Griffith University, Gold Coast, QLD, Australia.
  • Buxton S; Griffith Sports Science, Griffith University, Gold Coast, QLD, Australia.
  • Newans T; School of Health, University of the Sunshine Coast, Gold Coast, QLD, Australia.
J Sports Sci ; 41(19): 1762-1767, 2023 Oct.
Article em En | MEDLINE | ID: mdl-38214121
ABSTRACT
We provide a novel analysis of the locomotor movements of athletes in the National Rugby League Women's (NRLW) competition by presenting the data of opposing teams expressed as a relative (%) difference and explore the association with match outcome. 117 rugby league athletes from the four NRLW clubs participated in this study. Mean speed (m·min-1), mean high-speed running (>12 km·h-1; m·min-1), and mean acceleration (m·s-2) were measured in 12 matches (370 individual match files) using the Global Navigation Satellite System (GNSS). Individual GNSS-derived data from each match-half were summed across each team and the association with total points and the points differential in each match-half was determined using linear mixed models. Greater high-speed running and lower mean acceleration were associated with more points being scored. A greater relative difference in mean high-speed running between competing teams was associated with a higher points differential. That is, if a team completed 10% more high-speed running than their opposition, they were likely to score an average of 3.2 points more during a given match-half. This unique analysis of GNSS-derived data may assist coaches and performance support staff to interpret the locomotor movements of female rugby league players with the appropriate considerations for the opposition team.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Corrida / Desempenho Atlético / Futebol Americano Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Corrida / Desempenho Atlético / Futebol Americano Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article