Vol. 35 No. 2 (2023)
Articles

Gender comparison of in-match psychological traits of tennis players: dynamic network analysis

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  • Antonina Milekhina,
  • Kristijan Breznik,
  • Marialuisa Restaino
Antonina Milekhina
Higher School of Economics, Moscow
Kristijan Breznik
International School for Social and Business Studies, Celje
Marialuisa Restaino
University of Salerno, Fisciano
DOI: https://doi.org/10.26398/IJAS.0035-011

Published 2023-05-23

Keywords

  • tennis,
  • gender comparison,
  • match analysis,
  • RSiena,
  • dynamic network analysis

How to Cite

Milekhina, A., Breznik, K., & Restaino, M. (2023). Gender comparison of in-match psychological traits of tennis players: dynamic network analysis. Italian Journal of Applied Statistics, 35(2). https://doi.org/10.26398/IJAS.0035-011

Copyright (c) 2023 Antonina Milekhina, Kristijan Breznik, Marialuisa Restaino

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This study aims to explore/investigate the existence/influence of tennis players' psychological traits. For this purpose datasets on tennis matches of professional male (ATP) and female (WTA) tennis players were collected. Dynamical network analysis was applied with the RSiena program. Results revealed difference of in-match psychological characteristics influence on ability to build positive head-to-head for male and female players. Furthermore a revealed tendency of head-to-head networks to cyclic structures is discussed. The study represents one of the first attempts to explore sport related content with tools of dynamical network analysis.

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