Machine Learning in Team Sports
Rabiu Muazu Musa; Anwar P.P. Abdul Majeed; Norlaila Azura Kosni; Mohamad Razali Abdullah
Springer Verlag, Singapore
2020
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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.