Backgrounds/Objectives: Adolescent soccer players are exposed to elevated injury risk due to rapid musculoskeletal development and high physical demands. Neuromuscular training (NMT) and speed–agility–quickness (SAQ) training are widely used to enhance performance and reduce injury risk in youth athletes. While both approaches are effective, comparative evidence regarding their modality-specific performance adaptations remains limited. Furthermore, few studies have discussed how such performance data may inform evidence-based or data-driven training selection in youth sports contexts. Methods: Thirty-six male youth soccer players with at least three years of playing experience, affiliated with Team A in Gyeonggi-do and Team B in Chungcheongbuk-do, participated in the study (NMTG, n = 21; SAQG, n = 15). Participants completed either an NMT or SAQ training program for eight weeks. To objectively assess exercise performance, pre- and post-tests were conducted measuring dynamic balance, vertical jump, zigzag run, and carioca. Results: Findings revealed a significant main effect of time for lower limb power (p < 0.05), but no significant group × time interaction, indicating that both NMTG and SAQG improved significantly over the 8-week period. Conversely, significant interaction effects were found for agility (p < 0.001), with SAQG demonstrating superior enhancements compared to NMTG. Dynamic balance showed no significant time effect or interaction. Conclusions: While NMTG and SAQG are equally effective for enhancing lower limb power, SAQG provides modality-specific advantages for agility in youth soccer players. These results emphasize time-dependent adaptations for power and the distinct benefits of SAQG for multi-directional speed. These adaptation profiles offer a data-driven framework for optimizing training selection in youth athletes.

OBJECTIVES This study was conducted to compare and analyze the acute effects of the FIFA 11+ and a runningbased dynamic warm-up (RDW) program on static balance, dynamic balance, and jump performance in healthy male college recreational athletes.METHODS Ten healthy male college recreational athletes participated in this study and completed both warmup protocols in a randomized crossover design. IMU-derived static balance indices were assessed during a single-leg stance with eyes closed using a single thoracic inertial measurement unit (IMU)-based wearable sensor system. Dynamic balance was assessed using the left and right composite scores of the Y-Balance Test (YBT), and jump performance was measured using countermovement jump (CMJ) height. A two-way repeated measures analysis of variance (Two-way RM ANOVA) was performed to examine the main effects of condition and time and their interaction effects. Paired t-tests were additionally performed as post-hoc analyses for variables showing significant condition × time interactions.RESULTS Significant condition × time interactions were observed for both YBT-L (F = 8.06, p = 0.019) and YBT-R (F = 36.57, p < 0.001). Post-hoc paired t-tests showed that the FIFA 11+ condition significantly improved YBT-L from 93.20 ± 7.43% to 96.12 ± 6.75% (t = -5.343, p < 0.001) and YBT-R from 94.19 ± 6.82% to 97.54 ± 5.49% (t = -5.393, p < 0.001). In contrast, the RDW condition showed no significant pre-post changes in YBT-L (95.37 ± 6.60% to 95.79 ± 6.51%; t = -0.515, p = 0.619) or YBT-R (95.22 ± 7.65% to 94.48 ± 7.91%; t = 1.268, p = 0.237). No significant condition × time interactions or time main effects were observed for the thoracic IMU-derived static balance indices or CMJ performance.CONCLUSIONS The FIFA 11+ program showed a more favorable immediate response in dynamic balance performance, as assessed by the YBT, compared with the RDW program. However, neither warm-up protocol produced significant acute changes in thoracic IMU-derived static balance indices or CMJ performance. These findings suggest that FIFA 11+ may be a more effective warm-up strategy for acutely enhancing dynamic balance ability in male college recreational athletes, although the results should be interpreted cautiously due to the pilot nature and small sample size of the study.