Details

Autor(en) / Beteiligte

• Ransdell, Lynda B
• Murray, Teena
• Gao, Yong
• Jones, Paul
• Bycura, Dierdra

Titel

A 4-Year Profile of Game Demands in Elite Womenʼs Division I College Basketball

Ist Teil von

• Journal of strength and conditioning research, 2020-03, Vol.34 (3), p.632-638

Ort / Verlag

United States: Copyright by the National Strength & Conditioning Association

Erscheinungsjahr

2020

Link zum Volltext

Quelle

RCN full-text journals@Ovid

Beschreibungen/Notizen

• ABSTRACTRansdell, LB, Murray, T, Gao, Y, Jones, P, and Bycura, D. A 4-year profile of game demands in elite womenʼs Division I college basketball. J Strength Cond Res 34(3)632–638, 2020—Workload for a Division I womenʼs collegiate basketball team (0.817 win percentage) was examined by(a) season, (b) player position, and (c) game outcome (wins vs. losses). Female athletes (n = 6, mean 19.7 ± 1.5 years, at beginning of study) wore Catapult S5 units during 91.8% of games over a 4-year period. Average PlayerLoad, PlayerLoad per minute (PL·min), high inertial movement analysis (high-IMA), and jumps were quantified using Catapult Openfield software (version 1.14.1+). Data were checked for normality and log- or square-root-transformed when they were non-normal. A series of linear mixed model analyses were conducted to detect differences in PlayerLoad, PL·min, high-IMA, and jumps by season, position, and game outcome. PL·min and jumps data were not normal, so they were transformed, analyses were run; because there were no differences in findings, data are reported in original units to allow for comparisons with other studies. Cohenʼs d and confidence intervals were provided as additional information about the strength of reported differences. The 3 most consistent findings were that across a 4-year period, jumps increased, PL·min was higher in guards compared with posts, and high-IMA was higher in losses compared with wins. Other workload patterns were inconsistent, and inappropriate for making conclusive statements. Therefore, comparing jumps across multiple seasons, PL·min by player position and high-IMA in losses are important; in addition, all data can be used to profile National Collegiate Athletic Association Division I womenʼs basketball players and set game workload expectations.