ENGLISH

Machine Learning in Elite Volleyball: Integrating Performance Analysis, Competition and Training Strategies (SpringerBriefs in Applied Sciences and Technology)

By Noor Azuan Abu Osman , Rabiu Muazu Musa , Mohamad Razali Abdullah , Anwar P. P. Abdul Majeed , Mohd Azraai Mohd Razman , Muhammad Zuhaili Suhaimi

Book information

Publisher
Springer
Year
2021
ISBN
9811631913, 9789811631917
Language
english
Format
PDF
Filesize
2 MB (1789128 bytes)
Pages
63\58
Time added
2024-03-26 03:21:21

Description

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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