All data are presented as mean ± SD for each age group (U14, U16, U18 and Senior) and by playing position (forwards and backs). Chi-Square Statistics were used to establish the interval at which maximum speed was reached according to each age category and position. The Student’s t- test was used to analyse differences in time records of each interval and effect size (ES) was established according to ‘d’ Cohens effect and expressed with a confidence interval of 95%. These tests were performed using STATA v14 (StataCorp LLC) statistics software. To establish differences in performance of the measured variables, data were analysed using the method of magnitudes based on inferences (Hopkins et al., 2009). The differences between age groups and playing positions were established based on ‘d’ Cohen effect size, with a confidence interval of 90%. The criteria used for the interpretation of the ES were defined as trivial (0-0.19), small (0.2-0.59), moderate (0.6-1.1), large (1.2-1.9) and very large (> 2.0) (Batterham and Hopkins, 2006). The qualitative assessment was performed according to the following thresholds: <75%, not clear; 7595%, likely; 95-99%, very likely; >99%, almost certainly. The ICC and CV were calculated for the two sprints performed, to transmit the reliability of the test. The level of significance was set at p ≤ 0.05.

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