Notational analysis in female Grand Slam tennis competitions


  • Alejandro Sánchez-Pay Faculty of Sport Science, University of Murcia, Spain
  • José Antonio Ortega-Soto Faculty of Sport Science, University of Murcia, Spain
  • Bernardino J. Sánchez-Alcaraz Faculty of Sport Science, University of Murcia, Spain


 Grand Slam tennis tournaments are played on different surfaces. The aims of the present study were to analyse the technical differences in the Grand Slam tournaments (Australian Open or AO, Roland Garros or RG, Wimbledon or W, and the United States Open or US), as well as to establish differences between winning and losing players. A total of 580 sets in 248 matches played in Grand Slams between 2017 and 2018 were analysed. To observe differences between the tournaments, a one-way analysis of variance (Kruskal Wallis) with the Bonferroni post-hoc test was performed. Univariate (Wilcoxon test) analysis of data was carried out to show the differences between the winning and losing performances of sets. Players who had more aces, points won on the 1st serve, winning shots and net points won more matches in the AO, W and US than in the RG (p<.05). However, in RG, players won more receiving points (43.56% of the points played) with chances to break the opponents’ service game. The results also showed that the winning players were superior in both service and receiving, and the most influential variables on the outcome of the match were percentage of receiving points won, break points won, and percentage of points won on the first serve. Such knowledge may have implications in the design of appropriate game strategies and specific training sessions to improve performance in professional women’s tennis.

Key words: tennis, surfaces, performance, technical actions, women’s singles




How to Cite

Sánchez-Pay, A., Ortega-Soto, J. A., & Sánchez-Alcaraz, B. J. (2021). Notational analysis in female Grand Slam tennis competitions. Kinesiology, 53(1), 154–161. Retrieved from




Most read articles by the same author(s)