Selected Indicators Influence the Talent Identification of Young Tennis Players

Abstract

Background and Aim: Tennis is one of the most popular sports globally. Despite having the largest tennis population in the world, China has long lacked top-level athletes in this sport. One of the primary reasons is the difficulty in accurately identifying young tennis players with talent, which has led to the relative stagnation of the development of tennis in China. The purpose of this research is: (1) To Select the indicators that influence the talent identification of young tennis players in Guangzhou; and (2) To determine the weight of the indicators. Materials and Methods: The primary tool for this research is an expert questionnaire. Using the Delphi method, we collected opinions from 19 tennis experts in various fields to filter out evaluation indicators that influence the talent identification of young tennis players in Guangzhou. Firstly, we used the Analytic Hierarchy Process to determine the importance of each influencing factor; secondly, we applied connoisseurship to validate the scientific and practical aspects of the research process and results; finally, we provided a descriptive summary and report on the overall performance of the players. Results: Ultimately, a detailed and comprehensive evaluation indicator system was formulated, consisting of 7 primary indicators, 20 secondary indicators, and 44 tertiary indicators. The weightings of each indicator system were also determined, validating the feasibility and applicability of this comprehensive performance evaluation system for young tennis players in Guangzhou. Conclusion: The research results have strong rationality and feasibility, providing significant theoretical value and practical implications for the indicator system affecting the talent identification of young tennis players in Guangzhou. In the future, this can be extended to other provinces nationwide for field testing and discussion validation, and the system can be further optimized and improved based on the results.