What If Group-Level Assessments Miss the Real Issue?

This case study explores how Springbok's AI-powered MRI analysis revealed a significant muscle imbalance in a professional NFL running back, years after a Grade 3 hamstring tear and full return to play. Traditional assessments showed only minor differences between limbs, but detailed analysis found a 30 percent volume deficit in a single hamstring muscle.

The data also showed how nearby muscles had adapted over time, masking the true extent of the imbalance. These findings helped the performance team better understand the athlete's current muscle profile and adjust ongoing training and monitoring strategies.

Download the full case study to see how muscle-level insights can uncover critical patterns that are often missed by standard evaluation tools.