Rabiu Muazu Musa

Mohamad Razali Abdullah

Zahari Taha

Anwar P.P.Abdul Majeed

This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.​

Identifying Potential Archers

Machine Learning in Sports

Anwar P. P. Abdul Majeed

Muhammad Zuhaili Suhaimi

Mohd Azraai Mohd Razman

Noor Azuan Abu Osman

This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport. Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions. It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players. The details outlined in this brief are vital to coaches, club managers, talent identification experts, performance analysts as well as other important stakeholders in the evaluation of performance and to foster improvement in this sport.

Integrating Performance Analysis, Competition and Training Strategies

Machine Learning in Elite Volleyball

Mohamad Razali Abdullah

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