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.