Seen. Strong.TM 100,000 Girls
The evidence

Twenty years
of research.
One screening.

The patterns are known. The interventions are validated. The public-health framework is in place. What was missing was the screening layer.

Section 1 · The crisis

What the data says.

250K
ACL tears per year in the U.S., across youth and adult athletes (Datalys Center 2007–2022; AJSM).
2–8×
Female athletes' ACL injury risk multiplier compared to males in the same sport (NCAA Injury Surveillance).
+26%
Increase in youth ACL injury rates since 2007 (National ACL Injury Coalition).

The injury burden is concentrated in cutting and pivoting sports — soccer, basketball, lacrosse, volleyball. The financial cost runs into the billions annually. The career and developmental cost on youth athletes is harder to measure and impossible to overstate.

Sources

Section 2 · Why screening works

The patterns are visible before the injury.

Biomechanical research has identified specific movement patterns — knee valgus on landing, asymmetric force production, deceleration mechanics — that correlate with elevated ACL injury risk. These patterns are observable. They are modifiable. They precede the injury by months.

Foundational research

If a 10-minute screen identifies girls who would benefit from a prevention program — and the program reduces their injury rate by up to 61 percent (BJSM 2025 systematic review) — the public-health math is straightforward.
Section 3 · Phone-based movement analysis

The technology that will make population-scale screening possible.

Until recently, biomechanical screening required laboratory equipment — force plates, motion capture, specialist operators. Population-level use was impossible. Markerless movement analysis from smartphone video is changing the access question.

How the technology layer is designed

Validation

Smartphone-based motion analysis has been studied against laboratory motion capture in peer-reviewed work, and is used in research across universities and professional sport. The historic limitation has been distribution rather than measurement quality. The 100,000 Girls campaign is built to solve the distribution problem alongside ongoing validation.

Specific technology partnerships and validation work are referenced internally per IP disclosure boundaries. Phase 1 of the campaign uses a validated questionnaire-based intake while the full movement-capture protocol is brought online at population scale. The methodology stack is reviewable by clinical advisory partners and institutional collaborators on request.
Section 4 · The field around the work

Seen. Strong. is built to align with the public-health frameworks already in motion.

The campaign is operated by Better Athlete. The screening layer is what Better Athlete contributes. The institutions and initiatives listed below have each, independently, made female-athlete injury prevention a public priority — and the campaign is built to be useful to that work. Partnerships are in conversation; named partners will be announced as agreements are formalized.

Aligned with

National ACL Injury Coalition · in application
Aspen Institute · Project Play · aligned with
U.S. Soccer · Recognize to Recover · aligned with
Hospital for Special Surgery · research informs the work
NWSL network · captain conversations in progress
Clinton Foundation · Too Small to Fail · thematically aligned

Public-policy momentum

Section 5 · Our approach

Designed for population coverage, not individual precision.

A clinical screening protocol that is 95% accurate but unavailable to 99% of youth athletes is not the same as a triage protocol that is 80% accurate and accessible to anyone with a phone. The 100,000 Girls campaign optimizes for the second.

Calibration principles

What the screen is: a triage tool that identifies movement patterns associated with elevated injury risk and recommends the appropriate next step. What it is not: a diagnostic medical device, a substitute for clinical evaluation, or a predictor of individual injury events.

Ready to be part of the cohort?

100,000 Girls during the World Cup window. Every screen is one more data point. Every prevention program is one more athlete protected.