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.