Observational analysis reveals optimal velocity metrics for predicting repetitions to failure in resistance-trained individuals, suggesting accuracy varies by intensity and exercise.
Key Points
The ACVSingle model provides the best fit for predicting repetitions to failure during the back squat.
For the bench press, the FRV interaction model shows superior predictive capability compared to other metrics.
No single velocity variable consistently outperforms others across all relative loads in resistance training.
Findings indicate that velocity metrics must be tailored based on exercise type and relative load to enhance performance prediction.