Training Optimization and Sports Performance Research Group (GOERD), Sport Science Faculty, University of Extremadura, 10005 Caceres, Spain.
Facultad de Educación, Universidad Autónoma de Chile, Santiago 7500912, Chile.
Int J Environ Res Public Health. 2020 Feb 25;17(5):1477. doi: 10.3390/ijerph17051477.
Performance profiles have begun to be identified as extremely useful in order to help coaches individualize training according to the age and gender of athletes. Therefore, the aim of this study was to determine the activity demands and speed profile of U18 female basketball players during competitive matches. Time variables (real and playing time), distance variables (distance performed, distance in speed zones, high intensity distance and distance covered sprinting) and speed variables (number of sprints, sprint duration, maximum speed and average speed) were recorded from forty-eight players belonging to four teams (13 guards, 22 forwards and 13 centers). WIMUPRO inertial measurement units with ultra-wide band (UWB) indoor-tracking technology recorded six matches during final four in the season 2018/2019. A one factor ANOVA with Cohen's effect sizes () were used to identify the differences between groups (playing position and match day). Distance per minute (123.96 vs 112.67 m), high intensity distance per minute (15.48 vs 14 m), running distance (403.2 vs 541.28 m) and average speed (5.05 vs 5.41 km/h) were significantly higher on day 3 than 1, respectively. About playing position, forwards played more minutes during games, so covered a greater distance, more sprints and high intensity actions than the rest. In spite of fatigue, day 3 showed a greater intensity than day 1, therefore, the last day was the crucial one for the teams in the tournament. Forwards when playing more minutes obtain higher absolute values but not per minute which could mean a lower performance of the team.
表现特征已开始被认为极具实用价值,有助于教练根据运动员的年龄和性别进行个性化训练。因此,本研究旨在确定 U18 女子篮球运动员在竞技比赛中的活动需求和速度特征。时间变量(实际比赛时间和比赛时间)、距离变量(完成距离、速度区间距离、高强度距离和冲刺距离)和速度变量(冲刺次数、冲刺持续时间、最大速度和平均速度)由属于四支球队的 48 名球员(13 名后卫、22 名前锋和 13 名中锋)记录。WIMUPRO 惯性测量单元采用超宽带 (UWB) 室内跟踪技术,在 2018/2019 赛季决赛四分之一决赛中记录了六场比赛。使用单因素方差分析和科恩效应量 () 来确定组间差异(比赛位置和比赛日)。每分钟距离(123.96 对 112.67 米)、高强度每分钟距离(15.48 对 14 米)、跑动距离(403.2 对 541.28 米)和平均速度(5.05 对 5.41 公里/小时)分别在第 3 天和第 1 天显著更高。关于比赛位置,前锋在比赛中上场时间更多,因此比其他位置覆盖的距离更大、冲刺次数更多、高强度动作更多。尽管疲劳,第 3 天的比赛强度仍高于第 1 天,因此,对于锦标赛中的球队来说,最后一天是关键的一天。前锋上场时间更长,因此获得更高的绝对值,但每分钟的跑动距离没有增加,这可能意味着球队的表现有所下降。