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Introducing the technical individual contribution coefficient: a metric for evaluating performance in elite volleyball

López-Serrano Carlos, Zakynthinaki Maria, Mon-López Daniel, Molina-Martín Juan José

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URIhttp://purl.tuc.gr/dl/dias/8A4514E0-A496-481C-91E3-C089D207374F-
Identifierhttps://doi.org/10.1080/24748668.2023.2278380 -
Identifierhttps://www.tandfonline.com/doi/full/10.1080/24748668.2023.2278380-
Languageen-
Extent13 pagesen
TitleIntroducing the technical individual contribution coefficient: a metric for evaluating performance in elite volleyballen
CreatorLópez-Serrano Carlosen
CreatorZakynthinaki Mariaen
CreatorΖακυνθινακη Μαριαel
CreatorMon-López Danielen
CreatorMolina-Martín Juan Joséen
PublisherRoutledgeen
Content SummaryThis study introduces a new metric, the Technical Individual Contribution Coefficient, that enables the quantification of the individual technical performance in elite volleyball, from the practical perspective of coaches. Additionally, three Relative Individual Contribution Coefficients provide complimentary information on the players’ relative participation. Data from 20 matches of eight teams during the 2019 Club World Championship were provided by Data Volley software. The numerical evaluation of the players’ actions was based on experts’ ratings, and all calculations were carried out using Python programming. Binomial logistic regression and the areas calculated under the receiver operating characteristic curves were utilized to predict set outcomes based on team variables. For individual analysis, Spearman’s rho correlations and multiple descriptive analyses were conducted, and dynamic visualisations in Power BI were employed to enhance interpretation. The proposed coefficients efficiently predict both absolute and relative technical performance, across all game actions. This novel metric offers a comprehensive tool for performance evaluation and has significant potential to benefit not only fans and the media, but also coaches and team managers in their decision-making process for player selection. The dynamic visualisations utilized make it easier to understand multiple comparisons and to identify ways for improving performance.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2024-06-14-
Date of Publication2024-
SubjectPython programmingen
SubjectData analysisen
SubjectSport analyticsen
SubjectVolleyballen
SubjectTeam sporten
SubjectIndividual assessmenten
Bibliographic CitationC. López-Serrano, M. S. Zakynthinaki, D. Mon-López and J. J. Molina-Martín, “Introducing the technical individual contribution coefficient: a metric for evaluating performance in elite volleyball,” Int. J. Perform. Anal. Sport, 2023, doi: 10.1080/24748668.2023.2278380. en

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