Movement-quality scoring
Turn a movement screen into a tracked score, so a decline in how an athlete moves is a trend you can see, not a one-off observation that gets lost.
Biomechanical intelligence
How an athlete moves is the earliest signal you have.
Powered by VALD. Strong turns force-plate output, movement-quality scoring, and left-right asymmetry into one read on your athlete shared platform, so a problem in the way a body moves reaches you before it reaches the injury report.
The problem
The force plate sees it. The system never hears about it.
A dual force plate measures a five percent left-right imbalance the eye would miss. A movement screen flags a drop in jump quality. But that data lives in the testing software, exported as a PDF and filed, disconnected from the athlete's load, recovery, and medical history. The earliest, most objective signal you have about a body under strain sits in a silo, read once and forgotten, instead of feeding the decision it should change.
- Force-plate results exported as a PDF, never joined to load or recovery
- An asymmetry trend visible across tests, but only if someone lines them up by hand
- The most objective early-warning data you own, disconnected from the call it should inform
The solution
Movement, on the same record as everything else
Strong integrates VALD biomechanical data directly into the unified athlete profile. Force-plate metrics, movement-quality scores, and asymmetry sit beside training load and recovery, so the way an athlete moves is read in the context of the work they have done and the state they are in.
Force and asymmetry
The numbers behind how a body loads
Peak force, rate of force development, and the left-right split, each read against its own typical range so a single screen tells you how the athlete loaded today and where the imbalance sits. The metric that runs outside its usual range is marked, so an asymmetry or a force drop reads by shape and label, not by colour alone, and traces straight back to the test that produced it.
Session movement load
The Performance Clock movement metrics for one session, each against its own typical ceiling.
What it does
From a movement screen to a movement signal
Force-plate and asymmetry analytics
VALD force-plate metrics, peak force, rate of force development, and the left-right split, joined to load and recovery on one athlete record.
Fatigue-driven movement alerts
When movement quality drops or an asymmetry widens as load accumulates, the right staff are alerted, while the change is still small enough to act on.
What you can read
The biomechanical record, in plain terms
- Movement-quality score
- A tracked read on how cleanly an athlete moves through a screen, so a decline shows as a trend rather than a hunch.
- Force-plate metrics
- Peak force, rate of force development, and jump output from VALD, the objective measure of what a body can produce.
- Left-right asymmetry
- The split in force between sides, the imbalance the eye misses and the one that precedes many soft-tissue issues.
- Gait analysis
- How an athlete loads through the stride, read for the subtle changes that signal compensation or fatigue.
- Fatigue-driven alerts
- Automated flags when movement quality drops or asymmetry widens as load builds, surfaced before the injury report.
- VALD integration
- Biomechanical data ingested server-side and written to the unified athlete profile, never stranded in a testing silo.
Illustrative figures, not measured results
1athlete record carrying movement, load, and medical together
2sides compared on every force-plate read for asymmetry
0force-plate PDFs filed and forgotten
The force plate always told us something. The problem was getting that something next to the athlete's load and history in time to matter. Strong put it on one record, so an asymmetry trend is now a conversation we have before a session, not a post-mortem after an injury.
Biomechanical intelligence
Read the way a body moves, in full context
Movement is your earliest objective signal. Strong joins it to load, recovery, and medical history on one record, so the way an athlete moves changes the decision it should. See it on your own squad.