The data infrastructure beneath world sport.

Football's top tier has a structured data economy. The rest of the pyramid doesn't.

Twenty years of broadcaster-funded measurement built a deep structured-data economy across the Premier League, La Liga, MLS and the rest of the broadcast tier. Beneath that line, in tier 3, semi-professional ball, and lower-tier club football across countries no major data house ever entered, the equivalent data either doesn’t exist or doesn’t reach the people who could use it.

The bedrock layer of football hasn't been built yet.

Tiers 3 through 7+, semi-professional circuits, regional federations, and lower-tier club football across countries the major data providers will never bother to enter. That’s where most of the game actually happens, and where the bedrock data layer is missing. OFD is the infrastructure being built to make it exist.

Wyscout, StatsBomb, Opta, and Sportradar are priced correctly for the tier they serve.

The incumbents have a fair cost stack for the layer they cover. Multi-camera arrays, dedicated analyst rooms, and broadcaster relationships pay for themselves at the top of the pyramid because broadcasters and elite clubs underwrite the cost. The same math breaks down at tier 3 and below. It isn’t for lack of trying; the unit economics of the problem simply change once you leave the broadcast layer.

OFD runs on a different cost curve. One built for the bottom of the pyramid.

We’re a structurally different shape from the incumbents rather than a cheaper version of the same thing. A verified scout taps a phone at a Saturday match in Kumasi. In-browser tagging, assisted by AI and verified by humans, turns the footage into structured event data inside an ontology that already speaks to every other league we cover. Distribution is API-first and federation-aware, so the network grows by being plugged into.

The part that separates OFD from a data vendor is the operating load we absorb. We build the tools and systems a league or federation actually needs to run, and then we do the administrative work through them ourselves. Lower-tier football is not short on ambition, it is short on staff hours. A vendor hands over a dashboard and adds to that load. We take work off it, and the structured data layer gets built as a by-product of running the operation rather than as one more task somebody has to remember to do.

The funnel runs bottom-up, and each stage earns the next.

Capturing players gives us a reason to approach their teams. Onboarding teams gives us the density to approach their leagues. League contracts give us the credibility to approach federations. The data asset at each stage becomes the sales argument for the next one, which is why trust compounds in the same direction the network grows.

Subscriptions are the business. The other five lines compound on a base that bills every month.

Line 01 bills every month whether or not a single deal closes, and it carries the model. In Year 1, subscriptions are $1.80M of $1.95M in total revenue, which is 92 percent. By Year 5 they are $50.4M of $59.4M, which is still 85 percent. That base is forecastable from a user count rather than from a pipeline, so most of this model can be stress-tested by disputing one assumption. Lines 02 through 05 are deal and usage revenue that compounds on the same network the subscriptions build. Line 06 is how a club enters the ecosystem, and it is sized as customer acquisition rather than as a pillar of the forecast.

LOCALSS has just launched, globally, starting with football.

LOCALSS is the subscription platform for lower-tier and semi-professional football, carrying a marketplace and a structured-data layer on top of it. Verified scouts capture matches on consumer hardware, AI-assisted tagging extracts per-player data inside an ontology that spans every league we cover, and an API lets any actor in the football ecosystem plug in directly.

LOCALSS is the wedge. OFD is the parent.

The architecture beneath LOCALSS isn’t football-specific. It’s a pattern for servicing the underserved bottom of any organised sport: lower-tier football is the proving ground, and the same infrastructure is ready to extend into the next sport once football has shown the model works. Which sport comes next will be decided by where the data signals the strongest pull.

A revenue floor we can count, and a deal layer stacked on top of it.

The solid band is subscription revenue, and it is the part of this forecast that rests on one variable: how many accounts are paying $20 a month, or $100 for a club. Forty-five thousand paying accounts and their clubs is $16.2M of recurring revenue before a single league contract, API subscription, or licensing deal is counted. The lighter band is everything OFD sells on top of that base. Subscriptions are 92% of revenue in Year 1 and still 85% in Year 5, so the floor is where the business lives and the deal layer compounds on top of it. We show them separately so the floor can be stress-tested on its own. The user counts below are not drawn on a curve; they come out of the acquisition engine on the next slide.

Two full-time founders. Two equity partners with industry depth.

The full-time core builds the product, runs the platform, and carries the football-industry relationships. The equity-partner bench adds the sales motion and the legal scaffolding an early-stage sport-data company needs to operate responsibly. Everyone is on equity and no one takes a salary until revenue starts, which is why raised capital goes almost entirely into acquiring users rather than into payroll.

We're at the bottom rung. What the next round looks like depends on the conversation we have.

OFD is in the friends-and-family phase with the round open at $20K to $50K and the first cheque already in. The deck is an invitation to a conversation rather than a term sheet, and the shape of the next round will calibrate to the conversations we have over the next six months. Every rung is triggered by a revenue milestone rather than a date. The slide after this one shows exactly how the money on the first rung gets spent.

The raise has one job. It buys the first thousand paying users.

The platform is built and no founder takes a salary, so a friends-and-family round of $20K to $50K skips payroll and goes almost entirely into paid acquisition. We deploy it in blocks, each gated on a number rather than a date. Block 02 is the one that matters: it puts a thousand payers and a hundred teams on the books by month four to six, at which point subscription revenue covers the ad spend and growth stops needing capital. Everything after that block is funded by the business.

The bedrock layer of world sport. Built by the people it serves.

OFD is the data infrastructure beneath organised sport. We start with the bottom of football, and the same playbook is ready to service every other underserved sport once football proves the model. A crowdsourced network where every contributor strengthens the asset for every other one. We’re talking to the people who want to help shape what this becomes.