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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.
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