The effects of Re-w protocols on vertical jump are presented in Figure 2. Significant interactions were found for all variables (SJ: F = 41.2, p < 0.001, ηp2 = 0.587; SJd: F = 31.5, p < 0.001, ηp2 = 0.520; SJnd: F = 15.7, p < 0.001, ηp2 = 0.351; CMJ: F = 59.2, p < 0.001, ηp2 = 0.671; CMJd: F = 118.0, p < 0.001, ηp2 = 0.802; CMJnd: F = 28.1, p < 0.001, ηp2 = 0.492). The results indicated that compared to CON, performance in SJ significantly improved after SQL (p < 0.001, d = 7.70) and SQT (p < 0.001, d = 0.85). However, when no re-warm-up exercises were performed (i.e., PAS), the soccer players' performance in SJ significantly lower (p < 0.001, d = 0.73) compared to that shown at the end of the 1st-half of the match (i.e., CON). On the other hand, SJ was higher after SQL (p < 0.001, d = 2.00), SQT (p < 0.001, d = 1.82), and SQ (p < 0.001, d = 0.80) than after PAS. It was also found that after SQL and SQT, the SJ performance was higher than after SQ (p < 0.001, d = 1.20; p < 0.001, d = 0.96, respectively). Additionally, the analysis of SJd showed that soccer players reached significantly higher values after SQL and SQT than after SQ (p < 0.001, d = 1.50; p < 0.001, d = 0.88, respectively), PAS (p < 0.001, d = 2.33; p < 0.001, d = 1.66, respectively), and CON (p < 0.001, d = 1.80; p < 0.001, d = 1.20, respectively). Furthermore, SJnd was significantly higher after SQL than after SQT (p < 0.001, d = 0.64), SQ (p < 0.001, d = 1.16), PAS (p < 0.001, d = 1.36), and CON (p < 0.001, d = 1.04). In addition, SJnd was significantly higher after SQT (p < 0.001, d = 0.65) and SQ (p = 0.001, d = 1.00) than PAS. Finally, when no exercise based on Re-w was performed (i.e., PAS), the soccer players' performance in SJnd significantly lower (p < 0.001, d = 1.23) compared to that shown at the end of the 1st-half of the match (i.e., CON). The CMJ, CMJd and CMJnd analysis (Figure 2) significantly higher values after SQL than after CON (p < 0.001, d = 5.20; p < 0.001, d = 3.30; p < 0.001, d = 1.02, respectively), PAS (p < 0.001, d = 2.26; p < 0.001, d = 3.27; p < 0.001, d = 1.68, respectively), SQ (p < 0.001, d = 1.52; p < 0.001, d = 2.45; p < 0.001, d = 0.92, respectively), and SQT (p = 0.002, d = 0.71; p < 0.001, d = 1.75; p < 0.001, d = 0.85, respectively). In addition, performance in CMJ was significantly higher after SQT than after CON (p < 0.001, d = 0.93), PAS (p < 0.001, d = 1.59), and SQ (p < 0.001, d = 0.88). In the variable CMJd, the values were significantly higher after SQT than after CON (p < 0.001, d = 1.27) and PAS (p < 0.001, d = 1.18). While in CMJnd, the values were significantly higher after SQT than after PAS (p < 0.001, d = 1.10). On the other hand, CMJ, CMJd, and CMJnd were significantly higher after SQ than after PAS (p < 0.001, d = 0.70; p < 0.001, d = 6.35; p < 0.001, d = 2.01, respectively). Additionally, performance in CMJd was significantly higher after SQ than after CON (p < 0.001, d = 8.35). Finally, when no exercise based on Re-w was performed (i.e., PAS), the soccer players' performance in CMJ, CMJd and CMJnd significantly lower (p = 0.04, d = 0.55; p < 0.04, d = 1.36; p < 0.001, d = 2.04, respectively) compared to that shown at the end of the 1st-half of the match (i.e., CON). Additionally, significant interaction effects were obtained on the HJ (F = 73.6, p < 0.001, ηp2 = 0.717) (Figure 3A) and 3HJ (F = 22.6, p < 0.001, ηp2 = 0.437) (Figure 3B). Significantly soccer players reach more HJ after SQL, SQT and SQ than after CON (p < 0.001, d = 2.10; p < 0.001, d = 2.00; p < 0.001, d = 0.96, respectively) and PAS (p < 0.001, d = 2.83; p < 0.001, d = 2.40; p < 0.001, d = 1.85, respectively). In addition, HJ was significantly higher after SQL (p < 0.001, d = 1.16) and SQT (p < 0.001, d = 1.24) than after SQ. Finally, when no exercise based on Re-w was performed (i.e., PAS), the soccer players' performance in HJ significantly lower (p < 0.001, d = 1.17) compared to that shown at the end of the 1st-half of the match (i.e., CON). Regarding performance in 3HJ, the players performed significantly higher after SQL than CON (p < 0.02, d = 0.68), PAS (p < 0.001, d = 1.45), SQ (p < 0.001, d = 1.10) and SQT (p < 0.001, d = 0.57). In addition, 3HJ was significantly better after SQT than after PAS (p < 0.001, d = 0.86) and SQ (p < 0.001, d = 0.50). Also, 3HJ was significantly higher after SQ than after PAS (p = 0.002, d = 0.456) and when no exercise based on Re-w was performed (i.e., PAS), the soccer players' performance significantly lower (p = 0.01, d = 0.80) compared to that shown at the end of the 1st-half of the match (i.e., CON). Finally, standardized differences of S20 and T between types of Re-w protocols are shown in Figure 4. Significant effects of interactions were obtained on the S20 (F = 10.2, p < 0.001, ηp2 = 0.261) and T (F = 26.3, p < 0.001, ηp2 = 0.475) (Figure 4). The performance in S20 and T were significantly better after SQL than after CON (p < 0.001, d = 0.77; p = 0.002, d = 1.55, respectively), PAS (p < 0.001, d = 0.87; p < 0.001, d = 1.63, respectively), SQ (p < 0.001, d = 0.81; p < 0.001, d = 1.21, respectively) and SQT (p < 0.001, d = 0.21; p < 0.001, d = 0.49, respectively). In addition, performance in linear (i.e., S20) and COD (i.e., T) sprint were significantly better after SQT than CON (p < 0.001, d = 0.35; p < 0.001, d = 0.89, respectively) and PAS (p < 0.001, d = 0.51; p < 0.001, d = 1.16, respectively). On the other hand, T was significantly better after SQT than after SQ (p < 0.001, d = 0.70) and after SQ than after PAS (p = 0.01, d = 0.51). |