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Patterns of motor abilities and technical skills as predictors of success for youngudelite football players

机译:运动能力和技术技能的模式是年轻人 ud成功的预测指标精英足球运动员

摘要

Sport-motor tests play an important role in football talent selections. However, single testsudrepresent only parts of the complex game performance. The best game performanceudtherefore does not necessarily need to go hand in hand with the best results in all tests of a test battery. Considering the complexity of the game performance appropriately, a holistic perspective together with a person-oriented approach are applied. Thereby, systems consisting of several variables are identified and analysed in a longitudinal study. Following this idea, six sport-motor tests were aggregated into a subsystem. 106 young male elite football players were tested three times (2011, 2012, 2013; Mage, t2011=12.26, SD=0.29). One year later (2014) their performance level was enquired. Data were analysed using the LICUR method, a cluster analytical method. Four patterns were identified, which remained stable at all measuring points. The players frequently show intraindividual and structurally similar patterns over time. At the third measuring point, a pattern occurred out of which the players are significantly more likely to advance to the highest performance level one year later. This pattern appears consistently above average, but does not always show best test performances. The significantly frequent development along structurally stable patterns suggests a predictive validity of the subsystem sport-motor tests between the ages of 12 to 15. Above average, but not necessarily outstanding performances both in the motor abilities as well as in the football specific tests appears to be particularly promising. This finding emphasizes the need of a holistic perspective in the talent selection.
机译:运动能力测试在足球选才中起着重要作用。但是,单个测试仅表示复杂游戏性能的一部分。因此,在所有测试电池测试中,最佳游戏性能不一定与最佳结果并驾齐驱。考虑到游戏性能的复杂性,应采用整体视角和以人为本的方法。因此,在纵向研究中识别并分析了由多个变量组成的系统。按照这个想法,六个运动马达测试被汇总到一个子系统中。对106名年轻的男性精英足球运动员进行了3次测试(2011、2012、2013;法师,t2011 = 12.26,SD = 0.29)。一年后(2014年),他们要求达到绩效水平。使用LICUR方法(聚类分析方法)分析数据。确定了四个模式,在所有测量点上都保持稳定。随着时间的流逝,球员经常表现出个人和结构上相似的模式。在第三个测量点,出现了一种模式,玩家在一年后更有可能晋升到最高绩效水平。该模式始终高于平均水平,但并不总是显示出最佳的测试性能。沿结构稳定模式的显着频繁发展表明,子系统运动测试在12至15岁之间具有可预测的有效性。高于平均水平,但不一定能在运动能力和足球特定测试中达到出色的表现特别有前途。这一发现强调了在人才选拔中需要整体观点。

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