01
Hypotheses
Open model, explicit hypotheses
Variables retained, weighting choices and scope limits stated upfront. No black box for staff.
Science & validation
The methodological framework behind Predict Sports
Field data, cohorts tracked over time, and clear benchmarks that help staff place young athletes in their development — without replacing professional judgment or medical expertise.
Module 01 · Cadre
The methodological framework
A structured, defensible and transparent approach — so the benchmarks remain useful to both staff and medical professionals.
02
Data
Field measurements, simple and repeatable
Collected in real training environments, with no complex equipment or invasive protocols.
03
Model
Proprietary algorithm, longitudinal by design
Trained on a proprietary cohort (1,000+ athletes) with seasonal updates. The reading is never frozen.
04
Validation
Projections presented with margins
No estimate is delivered without its uncertainty interval. Reading stays contextualised.
Module 02 · Validité
Precision and validity
Three indicators we communicate clearly — rather than claim an accuracy the data does not support.
01 · Adult height precision
± 2 cm
Typical error margin observed on the proprietary cohort, on the projection at age 18.
02 · Model update
Annual
Recalibrated every sporting season, integrating new longitudinal measurements.
03 · Follow-up depth
5+ years
Median follow-up depth per athlete, across multiple maturation cycles observed.
Module 03 · Éthique
Responsible use framework
Predict Sports handles minors' data in training environments. The usage framework we recommend to every organization.
Safeguarding mineurs
- 01
Projections are not a tool for early selection or de-selection. They inform a long-term development plan.
- 02
No measurement should be returned to a minor or family without context — mediation by a trusted adult is systematic.
- 03
Maturation descriptors (early, on time, late) are neutral, never value judgments.
- 04
Medical staff retain authority over any growth reading. The platform does not substitute for any medical opinion.
Module 04 · Pour le staff
Why these benchmarks matter for staff
01
Interpretation
Place growth, maturation, and observed level in clearer context
02
Alignment
A shared framework for coaching, performance, and medical staff
03
Time
Longitudinal tracking to support decisions over time
04
Framework
Explicit margins and clear limits of use
Module 05 · Fondements
Foundations and methodological rigor
- Data collected in real training environments
- Longitudinal analysis across multiple seasons
- Estimates presented with explicit precision margins
Before / After
| Before | After |
|---|---|
| Fragmented interpretation | Structured, shared interpretation |
| Diverging judgments | More aligned decisions |
| Limited visibility on development | Clearer growth and maturation benchmarks |
1,000+ athletes · 20+ years of research
Data built in real training settings