Wearable technologies have advanced the field of performance assessment by offering immediate information on biomechanics, physiological reactions, and movement patterns. This has improved coaches' capacity to optimize training and reduce the risk of injuries. The utilization of big data in injury prevention is essential since it involves the analysis of past data to discover elements that contribute to risks and subsequently implement proactive steps to ensure the safety and well-being of young athletes. Moreover, using big data in talent identification provides a more impartial and comprehensive assessment of players' skills while reducing the influence of prejudices. This study examines the revolutionary influence of big data technology on extracurricular sports for adolescents, specifically focusing on training methods, performance evaluation, injury prevention, and talent recognition. Incorporating sophisticated data analytics has transformed training by facilitating customized, data-centric methods that cater to the unique requirements of individual athletes. Integrating big data in teenage sports represents a profound transformation, highlighting individualized growth, inclusivity, and general well-being.
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Yilun Zhao (2024) studied this question.
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