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2021 | Buch

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Machine Learning in Elite Volleyball

Integrating Performance Analysis, Competition and Training Strategies

verfasst von: Dr. Rabiu Muazu Musa, Prof. Dr. Anwar P. P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman, Prof. Dr. Mohamad Razali Abdullah, Prof. Dr. Noor Azuan Abu Osman

Verlag: Springer Singapore

Buchreihe : SpringerBriefs in Applied Sciences and Technology

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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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Inhaltsverzeichnis

Frontmatter

1. Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports

Abstract

This chapter presents the overview, nature, and history of the volleyball sport. The chapter also highlights the performance-related parameters that contribute to the successful delivery of performance in this sport. The recent advances in the application of various machine learning models towards solving the classification and regression problems associated with the data often acquired in the sporting domain are also provided. Moreover, the detailed procedures of the participants’ recruitment, data collection techniques via performance analysis as well as various univariate statistical analyses employed to achieve the purpose of the present study have also been presented.

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

2. The Effect of Competition Strategies in Influencing Volleyball Performance

Abstract

In this chapter, we examine the importance of key competitive psychological strategic elements that could be used to identify high-performance players in elite indoor men volleyball tournaments. It is demonstrated that a set of competitional psychological strategic elements, namely self-talk, activation, imagery, emotion control, automaticity, relaxation, goal setting, as well as negative thinking, are essential in determining performance and consequently serve as the indicators that significantly favour high performance in the elite volleyball game. In addition, it was demonstrated that a high classification accuracy in discerning the class, i.e. the performance of the players, could be attained via the k-nearest neighbours classifier.

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

3. Identification of Psychological Training Strategies Essential for Volleyball Performance

Abstract

This chapter highlights the contribution of certain training psychological strategic elements in the prediction of players performance during the indoor volleyball tournament. It has been demonstrated from the study findings that training strategic variables that included attentional control, imagery, relaxation, activation, goal setting, emotional control, automaticity as well as self-talk are found to be non-trivial in predicting the performance of the elite volleyball players. It has also been demonstrated from the current finding that linear-based SVR is able to yield an accurate prediction of the performance of the players. It is then inferred that the ability of an athlete to develop a personal strategy for dealing with adversity could to a larger extend assist the athlete in delivering good performance during competition in this sport.

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

4. The Strategic Competitional Elements Contributing to Volleyball Performance

Abstract

This chapter explored the importance of certain psychological strategic elements in the prediction of players performance during the indoor volleyball tournament. It has been demonstrated from the study findings that competitional strategic variables that constituted imagery, self-talk, activation, automaticity as well as emotional control are shown to be pivotal in determining the performance of elite volleyball players during competition. It is then postulated that the ability of an athlete to develop a personal strategy for coping with obstacles will help the athlete produce better results during competition in this sport to a greater extent.

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

5. Anthropometric Variables in the Identification of High-performance Volleyball Players

Abstract

In this chapter, we delve into the importance of certain anthropometric- and age-related variables in the detection of high-performance players during an indoor volleyball tournament. It is demonstrated that high-performance players in this sport are essentially taller, relatively younger, as well as slightly heavier, whilst huge body size coupled with higher age is found to be associated with low performance in the sport of men indoor volleyball. Moreover, an ANN-based classification model was found to be effective in the identification of the performance classes of the players.

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

6. Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition

Abstract

In this chapter, we investigated the influence of technical and tactical performance indicators in determining the match outcome, i.e. medallists and non-medallists during an indoor volleyball competition. A set of performance indicators, namely the ability to block, spike as well as tap, are shown to be essential in determining the chances of a team to either earn or lose a medal. It has been shown that both technical and tactical skills are essential for ensuring success in the men elite indoor volleyball championship. Moreover, a stacking-based machine learning approach was found to be effective in the identification of the chances for winning or losing a medal during a volleyball competition.

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

7. Summary, Conclusion, and Future Direction

Abstract

This chapter shall provide the summary of the analysis carried out, draws the conclusion of the findings as well as provides some insight into the future direction of the study.

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

Titel: Machine Learning in Elite Volleyball
verfasst von: Dr. Rabiu Muazu Musa
Prof. Dr. Anwar P. P. Abdul Majeed
Muhammad Zuhaili Suhaimi
Mohd Azraai Mohd Razman
Prof. Dr. Mohamad Razali Abdullah
Prof. Dr. Noor Azuan Abu Osman
Copyright-Jahr: 2021
Verlag: Springer Singapore
Electronic ISBN: 978-981-16-3192-4
Print ISBN: 978-981-16-3191-7
DOI: https://doi.org/10.1007/978-981-16-3192-4

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