The methodology employed in analyzing tennis player performance integrates comprehensive data collection and statistical analysis to yield insights into varying factors influencing outcomes in matches. This research follows a structured approach that adheres to ethical guidelines established by the Faculty of Physical Activity and Sports Sciences at the Technical University of Madrid, observing the European Data Protection Law to ensure the anonymity of the players involved To facilitate an in-depth comparison across different contexts, the collected match statistics, along with the players’ 52-week world rankings, were organized into spreadsheets, which enabled concise calculations related to performance quality. Each performance variable was transformed into a percentage or ratio scale in order to eliminate ambiguities in interpretation. For statistical evaluation, a one-way analysis of variance (ANOVA) was employed to discern differences across all selected variables among the four major Grand Slam tournaments. This analytic method was supplemented by a Bonferroni post hoc test to address pairwise comparisons, endorsed by calculations of partial eta squared (η²) as a measure of effect size.
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