Supplementary Table S19. Assessment of Publication Bias via Begg’s Rank Correlation and Egger’s Linear Regression Tests. Outcome Measure No. of Studies (n) Begg's Z-score Begg's P-value Egger's Bias Coeff. Egger's P-value Interpretation 5 m Sprint 10 1.16 0.245 0.759 0.195 No Bias 20 m Sprint 13 0.37 0.714 -0.332 0.669 No Bias 30 m Sprint 13 -0.73 0.464 -0.869 0.422 No Bias 40 m Sprint 8 0.00 1.000 -1.756 0.417 Not formally assessed due to <10 studies SJ 15 -0.35 0.729 5.204 0.893 No Bias CMJ 28 -0.43 0.664 -0.032 0.978 No Bias COD 17 0.99 0.323 1.399 0.167 No Bias 1RM 16 -0.72 0.471 -3.990 0.009 Significant Bias SJ: Squat Jump; CMJ: Countermovement Jump; COD: Change of Direction; 1RM: One-Repetition Maximum. Begg’s Test: Measures the rank correlation between the effect sizes and their variances. Z-scores and P-values are reported without continuity correction. Egger’s Test: A linear regression of the precision of the studies against the standardized effect. The "Bias" coefficient represents the intercept; a significant P-value (P < 0.05) indicates potential asymmetry and publication bias. Significance: Bolded values denote statistical significance (P < 0.05), indicating evidence of publication bias in the 1RM subgroup.