How it works
Where the numbers come from.
A market intelligence product is worth what its method is worth. If you are going to quote one of these figures in a negotiation, you should know exactly how it was produced.
Step one
Athlete records, built from official sources.
Rosters and statistics come from official college sports data feeds, refreshed on a schedule. Rosters monthly, because they change with transfers rather than week to week. Statistics weekly, after results settle.
Every athlete record carries where it came from. An athlete added by hand is marked as such and never mistaken for an imported one.
Refresh
Step two
Performance, ranked within position and conference.
Each position is scored on the statistic that actually describes it. Receiving yards for a receiver, strikeouts for a pitcher, points for a guard. Ranking a receiver against a linebacker on a shared number would produce arithmetic rather than information.
Athletes below a volume threshold are not scored at all. Two catches is not a season, and a percentile built on it would look identical to one built on forty.
Some positions have no countable production statistic. Offensive linemen are the clearest case. They are not given an invented score.
What a percentile says
87th percentile among SEC wide receivers by receiving yards, over 42 receptions.
The group, the metric and the volume are part of the figure. A percentile without them is a claim you cannot check.
Step three
Comparable pools.
Five signals decide who sits beside whom: position, conference tier, production, audience and class year. Each contributes a score between zero and one, and they are weighted differently depending on the question being asked.
A brand partnership weights audience heavily, because that is what a brand is buying. A revenue-share agreement weights production, because that is what a program is paying for. The same athlete has a different comparable set depending on which question you ask.
Where a signal is missing, the remaining signals are reweighted and the result reports how many it actually used. An absent signal is never treated as a zero.
Signal weights
Athletes with no measured signals fall back to position and conference alone, and the result says so.
Step four
Pools move because athletes do.
Comparable pools are rebuilt every time the underlying data refreshes. A strong month changes an athlete's production percentile, which changes who they sit beside, which changes every benchmark read against them.
That is not a side effect. The moment an athlete's pool changes is the moment their market changed, and it is usually the first signal anyone gets.
Movement
IllustrativeProduction percentile up 11 points over four weeks. Six athletes have entered this pool, four have left it. The median reported deal in the new pool is materially higher.
Step five
Verification and anonymisation.
Deals arrive from athletes, agencies and collectives. Nothing is published automatically. Each submission is reviewed before it enters the verified layer, and the record keeps how the figure was obtained: directly from the athlete, from an agency, from a third party.
Amounts are normalised to an annual figure so a three-year total is never compared against a one-off campaign. The original structure is kept alongside, and every published figure carries the basis it was derived from.
Athletes are anonymised. Offers from programs record the conference rather than the school, because three named schools beside specific figures identify an athlete regardless of anonymisation.
Anonymisation is not untraceability. In a small market an informed reader may still infer a source, and we say that plainly rather than promise otherwise.
A published deal
Illustrative$400,000 over 3 years, annualised. Contributed directly by the athlete.
Step six
What stays private.
A deal recorded on the platform is private. It sits in your own record and nothing about it leaves unless you send it, one deal at a time.
Where an agency or a collective submits on an athlete's behalf, the athlete's consent is required. Recording a deal is not the same as agreeing to share it, and the platform does not treat it as though it were.
We never publish a name alongside deal terms without permission.
Comparable pricing
Not yet openThe verified layer opens once the contributed dataset can fairly represent the market. Until then it stays closed.
What the platform will not do.
Most of the method is a set of refusals, and they matter more than the features.
Score the unscoreable
An athlete with no countable production is unscored rather than scored badly. Positions with no production statistic are shown as a cohort rather than ranked against each other.
Publish a thin benchmark as a rate
A median drawn from three deals is labelled as three deals. A cell built from one athlete's several offers is labelled as one athlete. Both are real observations. Neither is a market rate.
Blend the two layers
Public and verified intelligence are marked differently everywhere they appear. A reader should never have to work out which kind of claim they are looking at.
Present a mockup as data
Features that are not yet live are labelled as illustrations. A platform about market clarity has to be clear about itself first.
Give advice
We keep records and report what the data shows. We do not give tax, legal or compliance advice, and we do not file anything on anyone's behalf.
Sell placement
Matching is a match on data. No agency or brand can pay to appear in front of an athlete, and athletes choose whether they are visible at all.