Product

The intelligence layer for the NIL market.

Athlete data sits in recruiting databases. Partnership news sits in articles and social posts. Regulation sits in fifty legislatures and a governing body. What deals are actually worth sits nowhere public at all.

Varsity Valuations connects them. One structured layer where an athlete, their market position, the athletes they compare to, and what those athletes were paid all sit in the same place.

Athletes

15,620

2 sports

Conferences

9

Power Four and Group of Five

Programs

128

Rosters refreshed monthly

Comparable relationships

535,000

Rebuilt as signals move

Five things, connected.

Each of these exists somewhere already. None of them exist together, and the value is almost entirely in the joins.

Performance

On-field production from official statistics, ranked within position and conference. Athletes below a volume threshold are not scored at all, because ranking someone on two catches produces a number that means nothing.

Audience

Reach and engagement across an athlete's accounts. Measured across every sport rather than within one, since audience is audience wherever it was built.

Comparable pools

Built from position, conference tier, production and audience. Weighted differently depending on the question: a brand deal weights audience, a revenue-share agreement weights production.

Verified transactions

What athletes were actually offered and actually signed, contributed by athletes, agencies and collectives. Anonymised before anyone sees them, with the source of each figure recorded.

Deal records

Agreements, deliverables, dates and proof, stored against the deal they belong to. A record the participant controls, separate from anything filed with a regulator.

Regulation

An index of primary sources: statutes, governing body policy and the settlement framework, each with its citation, effective date and a link. Checked automatically for changes.

The centre of the product

Comparable pools that move.

An athlete's pool is the set of athletes a brand or a program would put beside them when deciding what to offer. Not the biggest names at their position. The ones genuinely in the same market.

Pools rebuild as production and audience change, so the group an athlete is measured against in October is not necessarily the group from August. That movement is itself a signal, and it is the moment a market has changed whether or not anyone has noticed.

Every other number on the platform is read against a pool. A percentile is a position within one. A benchmark is drawn from one. An alert fires because something happened inside one.

Signals

Position Exact, group, side
Conference Same, tier, adjacent
Production Percentile distance
Audience Percentile distance
Class year Proximity

Weighted by question. Where a signal is missing, the remainder are reweighted and the result says how many it rests on.

Two layers, never blended

What is public, and what is verified.

Public intelligence is everything assembled from sources anyone could reach: rosters, official statistics, partnership announcements, regulation. It carries a source name, a date and a link, every time.

Verified intelligence is what athletes, agencies and collectives contribute about actual transactions. It is the half nobody else has, and it is anonymised before it reaches anyone.

The two are marked differently everywhere they appear. A reader should never have to work out which kind of claim they are looking at.

Public intelligence

Public

Sourced, dated, linked. Assembled from material anyone could find, organised so it can be read together.

Verified intelligence

Verified

Real transaction terms, contributed and confirmed, anonymised before publication. What the market actually paid.

How the verified layer fills

Private by default. Shared by choice.

A deal recorded on the platform is private. It sits in the participant's own record and nothing about it leaves unless they send it, one deal at a time.

Submitting anonymises the athlete and records the programme as a conference rather than a school. Three named schools alongside specific figures identify an athlete regardless of anonymisation, so the platform does not store them that way.

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.

Comparable pricing opens once the contributed dataset can fairly represent the market. Until then it stays closed.

Comparable pricing

Not yet open

Verified deals are accumulating from athletes, agencies and collectives. This layer opens when the data can answer a pricing question properly rather than anecdotally.

Every figure states what it rests on.

The NIL market is full of numbers with nothing behind them. This is the part of the product that is hardest to see and hardest to replicate.

Samples are stated

A percentile carries the group and the volume it was measured over. Eighty-seventh percentile among SEC receivers by receiving yards, over forty-two receptions. Not eighty-seventh percentile.

Thin data says so

A benchmark from three deals is labelled as three deals. A cell built from one athlete's several offers is labelled as one athlete. Both are useful. Neither is a market rate, and the product will not present them as one.

Unrankable is a cohort

Some athletes cannot honestly be separated on the available signals. Offensive linemen have no countable production statistic. They are shown as a cohort rather than given an invented order.

Missing is not zero

An athlete below the volume threshold is unscored rather than scored badly. A signal that is absent is reweighted out, and the result reports how many signals it actually used.

Provenance is recorded

Every verified figure carries how it was obtained. Directly from the athlete, from an agency, from a third party. The verified layer is worth exactly what its provenance is worth.

Sources are monitored

Regulatory sources are re-checked automatically and flagged when the page changes. A finding aid that quietly points at a superseded statute is worse than none, because a reader trusts it.

One layer, four readings.

The same data answers a different question depending on who is asking.

Athletes

Where you sit, who you compare to, what they were paid, and your own record of everything you signed.

For athletes

Agents

The same, across a roster, plus what an offer should be worth before you counter it.

For agents

Collectives

Allocation benchmarked against the wider market, and a record of what every athlete owes and delivered.

For collectives

Brands

Athletes matched on the criteria that matter to the campaign, and what comparable brands paid them.

For brands

We are not producing another number. We are building the infrastructure that lets the market understand itself.