This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments.
Highlights the application of performance analysis tools in data acquisition, and various ML algorithms for evaluating team performance in sports Discusses how key performance indicators as well as human performance parameters are used in talent identification Will help coaches, managers and professionals to evaluate athletes’ performance
Rabiu Muazu Musa
Sports performance assessment Physical fitness parameters Psycho-maturity in sports Sports psychology Talent identification in sports Sports mechanics Sports engineering