SCORE ONE ATHLETE.
Enter what you have. The engine handles partial data by intelligently weighting layers — incomplete inputs widen the confidence interval rather than blocking the score. Required minimum: identity plus at least one data layer with values.
SCORE A COHORT.
Upload a CSV with one athlete per row. The engine processes the entire batch with Monte Carlo forecasting on each. Use the template below to ensure column alignment.
CSV TEMPLATE SCHEMA
One row per athlete. All numeric fields accept blanks (will be treated as no data). Booleans accept TRUE/FALSE/1/0. Principal endorsements as semicolon-separated codes (DOC;D3;KHAO;SAKINA;ED).
NO SCORED ATHLETES YET
Score a single athlete or upload a batch to populate this panel.
THE METHODOLOGY.
Transparency on the formula is itself the competitive moat. Sponsors trust scores they can explain. Below is the architecture — the weights are tunable, but only with principal-level approval.
THE FORMULA
The Global Edge Score™ is a weighted composite of four data layers, multiplied by the Network Vouchability Coefficient. Standard NIL platforms cap at the Market Layer. Global Edge weights Character & Wellness equal to Performance — a 30% weight on signals no competitor can measure.
| Layer | Weight | Data Source |
|---|---|---|
| Performance | 30% | Ed Lovelace verified protocol |
| Character & Wellness | 30% | HuMEN / HuMEN for HER cohorts |
| Market | 25% | Public, refreshed quarterly |
| Compliance | 15% | Verification team |
THE MULTIPLIER ONLY GEA APPLIES
After the four-layer weighted score, the NVC is applied as a multiplier. Other platforms can copy a formula. None can copy a principal endorsing an athlete.
| Signal | Effect | Cap |
|---|---|---|
| Base (no endorsements) | ×1.00 | — |
| Per inner-circle observation | +0.03 | +0.05 |
| Per principal endorsement | +0.05 | — |
| Multi-principal bonus (2+) | +0.05 | — |
| Maximum NVC | ×1.15 | Hard cap |
MONTE CARLO FORECASTING
For every athlete, the engine runs 1,000 simulated trajectories forward 12 months. Each input gets a defined drift mean (expected monthly change) and a variance band reflecting the realistic spread of outcomes. Athletes actively enrolled in HuMEN or verified performance protocols drift faster than those who aren't — quantifying the upside of platform participation.
Outputs include probability of reaching each tier in 12 months, expected score with 80% confidence interval (10th to 90th percentile), and projected market value range. These are the numbers that turn a snapshot score into a decision-grade forecast.
| Layer | Active Drift / month | Passive Drift / month |
|---|---|---|
| Performance | +2.0 (verified) | +0.5 |
| Character & Wellness | +1.0 (in cohort) | 0.0 |
| Market Reach | +5% compounding | +1% |
| Engagement | mean-reverts to 2.5% | same |
THE PARTICIPATION INCENTIVE
The formula is structurally designed to make GEA programming the path to highest valuation. Without HuMEN cohort completion, the Character Layer returns 0 — capping composite score around 70. Without GEA-verified performance, the Performance Layer is discounted 30%. These aren't penalties. They're the mathematical expression of "we measure what others can't, and our valuation reflects that."
The result: every athlete who wants Enterprise-tier portal visibility has structural upside to participate in Global Edge programming. The engine doesn't sell the platform. It quantifies why the platform matters.