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What are talent scouts actually identifying? Investigating the physical and technical skill match activity profiles of drafted and non-drafted U18 Australian footballers

机译:人才侦查员真正识别出什么?调查已征召和未征募的U18澳大利亚足球运动员的身体和技术比赛活动概况

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摘要

Objectives: To compare the physical and technical skill match activity profiles of drafted and non-drafted under 18 Australian football players.\ud\udDesign: Cross-sectional observational.\ud\udMethods: In-game physical and skill variables were assessed for under 18 Australian football players participating within the 2013 and 2014 National under 18 Australian Football League Championships. Players originated from one State Academy (n = 55). Ten games were analysed; resulting in 183 observations. Players were sub-divided into two groups; drafted/non-drafted. Microtechnology and a commercial statistical provider allowed the quantification of total distance (m), relative distance (m min−1), high speed running distance (>15 km h−1), high speed running expressed as a percentage of total distance (% total), total disposals, marks, contested possessions, uncontested possessions, inside 50s and rebound 50s (n = 10). The effect size (d) of draft outcome on these criterion variables was calculated, with generalised estimating equations (GEE's) used to model which of these criterion variables was associated with draft outcome.\ud\udResults: Contested possessions and inside 50s reflected large effect size differences between groups (d = 1.01, d = 0.92, respectively). The GEE models revealed contested possessions as the strongest predictor of draft outcome, with inside 50s being the second. Comparatively, the remaining criterion variables were not predictive of draft outcome.\ud\udConclusions: Contested possessions and inside 50s are the most influential in-game variables associated with draft outcome for West Australian players competing within the National under 18 Australian Football League Championships. Technically skilled players who win contested possessions and deliver the ball inside 50 may be advantageously positioned for draft success.
机译:目标:比较18岁以下草拟和未草拟的澳大利亚足球运动员的身体和技术比赛活动概况。\ ud \ ud设计:横断面观察。\ ud \ ud方法:评估游戏中的身体和技能变量是否低于18名澳大利亚足球运动员参加了2013年和2014年18届澳大利亚足球联赛冠军的比赛。玩家来自一所州立学院(n = 55)。分析了十场比赛;导致183次观察。玩家被分为两类:起草/未草拟。微技术和商业统计提供者允许量化总距离(m),相对距离(m min-1),高速行驶距离(> 15 km h-1),高速行驶以总距离的百分比表示(%总数),总处置次数,得分,有争议的所有物,无争议的所有物,50秒内和反弹50秒(n = 10)。计算结果草案对这些标准变量的影响大小(d),并使用广义估计方程(GEE's)来建模哪些标准变量与结果草案相关。\ ud \ ud结果:争夺的所有物和50年代内反映出较大的影响组之间的大小差异(分别为d = 1.01,d = 0.92)。 GEE模型显示,争夺性财产是选秀结果的最强预测指标,其中50岁以下是第二位。相对而言,其余标准变量不能预测选秀结果。\ ud \ ud结论:在18场澳大利亚足球联赛冠军赛中,有争议的控球次数和50s内与西澳大利亚球员在国家杯比赛中的结果草案相关的最具影响力。赢得竞争性财产并在50分内送出球的技术娴熟的球员可以被有利地定位以取得选秀成功。

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