VBTfit delivers velocity-based training and countermovement jump assessment from a smartphone camera. The same evidence-based method used by elite programs — accessible to every coach and athlete, on the device already in their pocket.
Velocity-based training uses real-time movement speed to prescribe, monitor, and autoregulate training load. Rather than anchoring intensity to a fixed percentage of 1RM — which fluctuates daily with fatigue and readiness — VBT ties load decisions to how fast the athlete is actually moving. The bar doesn't lie.
The evidence base is well established. Weakley et al. (2020, 2021) demonstrated that VBT provides valid, reliable, and practically meaningful data for load prescription and fatigue monitoring. The ACSM position stand further supports velocity monitoring as a standard component of evidence-based strength training.
Traditionally, this required a linear position transducer attached to the barbell. VBTfit extends the same methodology to a smartphone camera, bringing the method to everyone.
Hardware device attached to the barbell. Industry standard for VBT in performance settings. Requires purchase and dedicated setup.
Same VBT methodology and variables. No additional hardware. Free. Covers VBT lift assessment, load-velocity profiling, and CMJ analysis. Validated against force plate data.
Gold standard for jump mechanics and CMJ phase analysis. Lab or permanent installation. VBTfit was validated against this standard across 44 athletes and 18 variables.
Jump height (in) · Flight time · Eccentric duration · Concentric duration · Peak velocity (m/s) · Reactive strength index · Countermovement depth
Mean concentric velocity (m/s) · Peak velocity · Velocity loss % · Velocity targets per exercise · Load-velocity profiling · Minimum velocity threshold
Athlete profiles · Session logging · Exercise library · Performance trends · Historical comparisons · Multi-athlete testing
Place your smartphone on a tripod or stable surface. No additional hardware required.
Choose your exercise, set velocity targets for intensity zones, and configure your velocity loss threshold for the set.
Computer vision tracks every rep in real time. Velocity loss alerts tell you when to end the set — not guesswork.
Session data logs automatically to the athlete profile. Track trends and build a complete performance history.
VBTfit's accuracy has been formally tested against one of the leading force plate systems in sport science research — examining 18 countermovement jump variables across 44 collegiate athletes.
This research forms the basis of a PhD dissertation at Rocky Mountain University, currently in preparation for submission to JSCR.
We pulled the app from the store to rebuild it from the ground up — adding Google MediaPipe pose estimation, improved accuracy, and a redesigned athlete management system. Leave your email and we'll notify you the moment it's back.
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