Woods Carl T, Bruce Lyndell, Veale James P, Robertson Sam
a Discipline of Sport and Exercise Science , James Cook University , Townsville , Australia.
b School of Medical Sciences , Royal Melbourne Institute of Technology University , Melbourne , Australia.
J Sports Sci. 2016 Dec;34(23):2165-2169. doi: 10.1080/02640414.2016.1210816. Epub 2016 Jul 20.
Identifying performance differences between juniors at different stages of a talent pathway may assist with the development of prospective talent. This study investigated the relationship between game-based performance indicators and developmental level in junior Australian football (AF). Players were categorised into 2 groups according to developmental level; U16 and U18. Physical and technical skill performance indicators were collated for all U16 (n = 200) and U18 (n = 244) participants of their respective 2014 national championships. Data were acquired from all 28 games (12 U16, 16 U18); resulting in 1360 player observations (568 U16, 792 U18). Microtechnology and a commercial provider facilitated the quantification of 15 performance indicators. Generalised estimating equations (GEEs) modelled the extent to which these performance indicators were associated with developmental level. The GEE model revealed that "contested marks" and "contested possessions" had the strongest association with the U16 level, while "total marks" and "clearances" had the strongest association with the U18 level. The remaining performance indicators were not developmentally discriminant. These results indicate that there are distinctive features of gameplay more associated with the U16 and U18 levels in AF. Coaches may wish to consider these results when constructing training drills designed to minimise developmental gaps.
识别人才培养路径中不同阶段青少年球员的表现差异，可能有助于未来人才的发展。本研究调查了澳大利亚青少年足球（AF）比赛中基于表现的指标与发展水平之间的关系。根据发展水平，球员被分为两组：16岁以下组和18岁以下组。收集了参加各自2014年全国锦标赛的所有16岁以下组（n = 200）和18岁以下组（n = 244）参与者的身体和技术技能表现指标。数据来自所有28场比赛（12场16岁以下组比赛，16场18岁以下组比赛）；共得到1360名球员的观察数据（568名16岁以下组球员，792名18岁以下组球员）。微技术和一家商业供应商协助对15项表现指标进行了量化。广义估计方程（GEEs）对这些表现指标与发展水平的关联程度进行了建模。GEE模型显示，“争顶成功”和“争球成功”与16岁以下组水平的关联最强，而“总成功争顶次数”和“铲断成功次数”与18岁以下组水平的关联最强。其余表现指标在区分发展水平方面没有作用。这些结果表明，澳大利亚青少年足球比赛中存在与16岁以下组和18岁以下组水平更相关的独特比赛特征。教练在设计旨在缩小发展差距的训练练习时，可能希望考虑这些结果。
