Methodological Discrepancies in Lower Limb Average Power Calculation in a Repeated Vertical Jump Test: A Preliminary Study

Repeated vertical jump assessments are commonly used to evaluate lower limb average power and neuromuscular performance. However, discrepancies persist regarding the accuracy and consistency of different computational models used to estimate average power. Purpose: This study aimed to evaluate and compare three distinct models; Bosco, Miron Georgescu (MG), and Modified Miron Georgescu-15s (MGM-15) used during a 15-second repeated vertical jump test. Methods: Five male athletes participated in the testing protocol, using the OptoJump system. Power output (W/kg) was calculated through each model, based on jump height, flight time, and ground contact time. Statistical differences between models were assessed using repeated-measures ANOVA with Bonferroni correction. Results: Results revealed significant discrepancies: Bosco produced the highest estimates (M = 39.43 ± 7.74 W/kg), followed by MG (M = 20.38 ± 5.60 W/kg), while MGM-15 yielded the lowest values (M = 4.14 ± 0.54 W/kg). ANOVA confirmed a strong effect of model type on output [F (2,8) = 111.50, p < .001, η2 p = .965], with all pairwise comparisons significant. Conclusion: These findings highlight the critical impact of model selection on performance interpretation. While Bosco’s model tends to overestimate power, the MGM-15 protocol may offer a more conservative and physiologically coherent alternative. Considering that repeated vertical jumps are typically performed in a “ball-like” elastic manner, the resulting power values may better reflect psycho-neuromotor quality such as anticipatory control and coordination rather than pure energetic output. The study underscores the need for standardized methodologies in jump-based power assessments. Future research with larger and more diverse cohorts is warranted to confirm these results and support the development of validated and reliable evaluation tools.