Performance Profiling on Argentina Men's Volleyball Team at Tokyo 2020 Olympics
Bibliographic Data
| ID | 22197252 |
|---|---|
| Authors | T P Yokesh T P Yokesh, T P Yokesh (Alagappa University), A Deepa (Alagappa University), A Deepa A Deepa, S Viswanath S Viswanath, Sundaram Viswanath (Visva-Bharati University), G Mahalakshmi G Mahalakshmi, G S Mahalakshmi (0000-0002-0491-6214, Government of Tamil Nadu), Mukesh Kumar (0000-0002-8539-965X, Department of Biotechnology), M Suresh Kumar M Suresh Kumar |
| Year | 2023 |
| Volume | 4 |
| Issue | 1 |
| Publication date | 2023-06-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ShodhKosh: Journal of Visual and Performing Arts (JOURNAL) |
| Journal identifiers | ISSN: 2582-7472 • E-ISSN: 2582-7472 |
| Publisher | Granthaalayah Publications and Printers (PUBLISHER • IN) |
| DOI | 10.29121/shodhkosh.v4.i1.2023.4077 |
| OpenAlex | W4407192380 |
| Language | EN |
| References cited | 40 |
This study conducts a comprehensive performance profiling of men's volleyball teams at the Tokyo 2020 Olympics, specifically focusing on both Bronze medal-winning and losing teams. The observation was used to analyze the 34 sets of 8 matches corresponding to the 12 teams participating in the Tokyo Olympics 2020. The performance indicators were performance in all game actions and classifications. The methodology involves analyzing various performance indicators such as attack points, errors, block points, block errors, serve points, serve errors, reception success, reception errors, perfect digs, dig errors, and set errors. Using chi-square statistical analysis, the results showed a significant association between the final classification of reception, setting, attack, block, and defense (p
Political science · Computer Science · Sports Analytics and Performance · Sports injuries and prevention · Sports Performance and Training
| Highly cited | No |
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