Athlete Equity
Sponsorship valuation for the modern roster.
Quantify athlete commercial value across performance, audience, and brand alignment. Built for agencies, brands, and rights-holders making eight-figure decisions.
How it works
The exact thing your team is trying to call.
Forward 12-month sponsorship-equivalent value per athlete, partitioned by category fit and market.
- Performance-adjusted commercial valuation
- Audience composition by age, geography, and category interest
- Off-field reputation tracking with controversy flags
- NIL and endorsement comparable benchmarks
- Team-context and trade-impact simulation
Signal sources
What feeds the athlete equity model.
- 01League performance feeds and advanced metrics
- 02Instagram and TikTok engagement panels
- 03News RSS sports coverage
- 04Google Trends athlete-level search
- 05Public endorsement deal registries
- 06X fan-base sentiment samples
Use cases
What teams actually do with Athlete Equity.
Greenlight reviews for athlete equity
Run scoring on a portfolio of candidates and surface the ones whose athlete equity signals diverge most from their internal narrative.
Continuous monitoring
Subscribe via webhook and receive a payload only when the score crosses a threshold you defined. No dashboards required.
Cross-vertical analysis
Pull the same entity into other verticals to see whether the signals agree or disagree. Disagreement is often where the alpha is.
Backtesting before commitment
Score the last 24 months of decisions against the model and compare hit rates. The calibration_bucket field tells you how much to trust the model in the bands you care about.
API
Calibrated, explainable, ready for production.
Every prediction ships with a confidence interval, the top feature drivers explaining the score, and the five nearest historical analogs the model leaned on.
Available via REST and a typed TypeScript SDK.
See full API reference{
"entityId": "ath_44b21",
"equityUSD12m": 14200000,
"ci95": [
11800000,
16600000
],
"categoryFit": {
"apparel": 0.88,
"beverage": 0.62,
"finance": 0.41,
"gaming": 0.74
},
"drivers": [
{
"feature": "performance_rating_z",
"contribution": 0.09
},
{
"feature": "social_engagement_rate",
"contribution": 0.07
},
{
"feature": "team_market_size",
"contribution": 0.05
},
{
"feature": "controversy_index",
"contribution": -0.04
},
{
"feature": "playoff_visibility_proj",
"contribution": 0.03
}
],
"analogs": [
"ath_91d40",
"ath_2c81e",
"ath_77b09",
"ath_4f3a1",
"ath_0e220"
]
}Compared to
How Athlete Equity differs from what is already out there.
| Vendor | How SignalGrid is different |
|---|---|
| Two Circles | Forward equity valuation in dollars, not only reach metrics. |
| Hookit | Performance-adjusted projections, not only social media reach. |
| Nielsen Sports | Continuous public-signal model, not panel-driven retrospective reports. |
Try Athlete Equity on your own entities.
Start free during the public beta. We will pre-select athlete equity for you on signup.
Other verticals