首页> 外文期刊>Journal of Sports Science and Medicine >Science or Coaches’ Eye? – Both! Beneficial Collaboration of Multidimensional Measurements and Coach Assessments for Efficient Talent Selection in Elite Youth Football
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Science or Coaches’ Eye? – Both! Beneficial Collaboration of Multidimensional Measurements and Coach Assessments for Efficient Talent Selection in Elite Youth Football

机译:科学或教练的眼睛? - 两个都!优惠衡量和教练评估的有益合作,以精英青年足球的高效人才选择

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Due to the tremendous popularity of youth football, practitioners in this domain face the ongoing question of the most effective solutions in early talent selection. Although the scientific community has suggested multidimensional models for some time, coach assessments and motor performance tests remain common. Earlier research has determined the strengths and weaknesses within these different approaches. The current investigation directly compared the effectiveness of each approach in talent selection (coach assessment vs. motor performance tests vs. multidimensional data). A sample of 117 youth football players, their parents, and coaches participated in multidimensional measurements in the U14 age category (coach assessments, motor performance tests, psychological characteristics, familial support, training history, and biological maturation). The area under the curve (AUC [95% CI]) from receiver operating characteristic indicated the prognostic validity of each approach in predicting U19 player status five years after the assessments (professional vs. non-professional). Motor performance tests (0.71 [0.58; 0.84]) showed a lower AUC than the multidimensional data (0.85 [0.76; 0.94], p = 0.02), whilst coach assessments did not differ from the two others (.82 [.74; .90]). Further, combined talent selection approaches, especially the use of coach assessments and multidimensional data together, were significantly better at predicting U19 player status (0.93 [0.87; 0.98], p = 0.02 vs. multidimensional data only). Although certain limitations may impede further insights (summation of data, skipped use of non-linear statistics), scientific claims for using multidimensionality within talent selection were confirmed to be fruitful. In particular, the combination of the subjective coaches’ eye with scientific data may buffer the mutual weaknesses of these different approaches. Future research should focus on optimizing the output of promising multidimensional models. Knowledge of detailed values relating to specific dimensions within these models and the implementation of enhanced non-linear statistics may enable further improvements in the field of talent selection.
机译:由于青年足球的巨大普及,在这个领域的从业者面临着早期人才选择中最有效的解决方案的持续问题。虽然科学界已经建议多维模型一段时间,但教练评估和电机性能测试仍然很常见。早期的研究已经确定了这些不同方法内的优势和缺点。目前的调查直接与人才选择中的每种方法的有效性(教练评估与电机性能测试与多维数据)相比。 117青年足球运动员,父母和教练的样本参与了U14年龄类别的多维测量(教练评估,电机性能测试,心理特征,家族性支持,培训历史和生物成熟)。来自接收器操作特征的曲线下的区域(AUC [95%CI])表明,在评估后五年预测U19球员现状的每种方法的预后有效性(专业与非专业)。电动机性能测试(0.71 [0.58; 0.84])显示比多维数据(0.85 [0.94],P = 0.02),同时同学与另外两种不同(.82 [.74;。 90])。此外,组合的人才选择方法,特别是使用教练评估和多维数据的使用,在预测U19播放器状态下显着更好(仅0.93 [0.98],P = 0.02与多维数据)。虽然某些限制可能会妨碍进一步的见解(数据的总和,跳过使用非线性统计),但是在人才选择中使用多利率的科学要求被证实是富有成效的。特别是,主观教练的眼睛与科学数据的组合可以缓冲这些不同方法的相互弱点。未来的研究应该专注于优化有前途的多维模型的产出。了解与这些模型中的特定维度相关的详细值以及增强的非线性统计信息的实施可以进一步改进人才选择领域。

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