P3 publishes original research drawn from our database of more than 5,000 elite athletes. These findings shape how we assess movement, identify injury risk, and build training programs — for every athlete we work with.
Talent identification
Seven ways to be an
elite athlete in the NBA
P3's biomechanical database reveals seven distinct movement profiles in the NBA — and why athletes with identical physical outputs require fundamentally different training approaches.
Training transfer
What happens in the lab
shows up on the court
P3 data demonstrates that biomechanical improvements measured in assessment transfer directly to on-court performance. Training works — when it's built on the right data.
Lateral speed
Lateral force is what
separates fast shufflers
from slow ones
P3's lateral countermovement jump assessment identifies the specific force production patterns that drive elite lateral speed — and exposes the compensation strategies that limit it.
Movement strategy
NBA players jump the
same height in three
completely different ways
P3's CMJ data reveals distinct movement strategies that produce identical jump heights — with very different implications for injury risk, training response, and long-term performance.
Injury patterns
The NFL’s hamstring
problem is a
preseason problem
An analysis of hamstring strain patterns in professional football reveals a consistent, preventable window of peak injury risk — and why it almost always happens before Week 1.
Injury risk modeling
P3 can identify six
of the next ten knee
injuries in the NBA
The study behind P3's Injury Risk Modeling. Using 3D motion capture and force plate data from 400+ NBA athletes, P3's injury model prospectively identifies acute knee injury risk before it occurs — with sensitivity greater than 0.6. See how P3 applies it: Injury Risk Modeling.