The data the
rest of sport
doesn’t have.

Top-tier leagues are monitored by a handful of centralized providers. Everything beneath them sits outside the data economy. OFD is the infrastructure that makes the data exist in the first place. Built crowdsourced, from the ground up.

↓   Continue reading2026 · Dispatch 01

If you move the
industry, write.

Direct lines
Routed within 24h · founder-replied
Or, a brief note
Name
Organization
Email
You are
FederationBroadcasterInvestorAgencyTech partnerPress
Note
Form wiring lands next round · write to partners@ directly
P1P2P3P4P5Operating principles · what we believe before we ship

What we believe before we ship.

P1
The match is the unit of the database, not the requested player.
P2
Provenance is first-class metadata, not a footnote.
P3
Persistent entities, mutable affiliations.
P4
One database, two faces: user-facing and admin.
P5
Audit everything that affects data or money.

Three layers. One stack.
Operated as infrastructure, not as a feature.

Infrastructure · capture → standardize → distribute
01
Capture

A distributed contributor network at every tier of every sport. Economic participation by paid freelance scouts, in place of staffed centralized coverage.

02
Standardize

A single event ontology, comparable across leagues, divisions, countries, platforms. Federation IDs as foreign keys.

03
Distribute

Channels into every buyer: scouts, federations, broadcasters, sponsors, agents, and the players themselves.

If incumbents can’t profitably cover tier 3+, how can we?

Three structural advantages, not features. Each is a different cost curve, not a better version of the same one.

i.
Crowdsourced supply

Verified freelance scouts publish match data at $20–50 per match. Incumbents run centralized personnel at $200–400 per match.

A structurally different cost stack, not a better feature.
ii.
Lightweight extraction

Browser-based tagging tools, voice + hotkey hybrid. One operator and one phone camera replace what used to require a five-person broadcast crew.

AI-assisted, not AI-replaced.
iii.
Open architecture

Federation IDs as foreign keys, not silos. We don't replace registration systems. We plug into FIFA Connect, MySAFA, or whichever player-identity layer the federation already uses.

No rip-and-replace, ever.
Source · operator interviews and incumbent pricing references, 2025–2026
Sources · FIFA Connect, UEFA, national federation registriesThe Gap

The market is not the top tier. It’s everything beneath it.

60,000+
semi-pro football clubs globally
with no consistent data layer
9.5M
registered footballers worldwide
less than 2% with comparable performance data
8 tiers
in major football pyramids
coverage stops at tier 2
47%
of pro contracts signed globally
come from outside the top tier
BUILD STATUS2026.W21 · OFD/01
The work, in public

Pre-launch progress, kept honest.

Real numbers, even when they are small. Architectural targets named. Sources cited. The same standard we hold the rest of the data layer to.

01
SHIPPED
Event ontology
v0.7
Draft for federation review
02
IN BUILD
Federation conversations
4 active
Across UK, US, West Africa, Caribbean
03
PLANNED
Verified scout network
0 / 50
Recruiting opens with LOCALSS launch
04
IN BUILD
LOCALSS public layer
2026 Q3
Web + ingest + comparative-metrics API
Last update · 2026.05.18 · This page is the public source of truth.
LOCALSS

The only place a 6th-tier English club, a 3rd-division Croatian side, and a Jamaican Premier League team can be measured against one another on consistent metrics.

i.
Unique data no other operator owns.
ii.
Comparisons no other operator can run.
iii.
Insights only possible when the data layer is built from the ground up.
Verticals roadmap · one platform, four sports2026 → 2028
LOCALSS
Football
2026
LIVE
[TBD]
Hockey
Q1 2027
IN BUILD
[TBD]
Basketball
Q3 2027
PLANNED
[TBD]
School Sports
2028
PLANNED
Read the LOCALSS brief
TOLeague operators · federation strategy heads · tournament directors
Engagements

What we’d build with you.

Three engagements for leagues and federations ready to make their tier of the game legible. Founding-partner terms while LOCALSS is in pre-launch: the first leagues we work with help define the data model, the integration shape, and the product they want next.

01
Capture your league

Our crowdsourced contributor network and lightweight extraction tools, applied to every match in your competition. Browser-based tagging with voice and hotkey input. One operator and one phone camera per match. Broadcast crews not required, broadcast-grade output where it matters.

You getPer-match event data, every fixture, to the LOCALSS ontology
02
Standardize your data

Granular player-level metrics built to the same ontology we apply across every league we cover. A 6th-tier midfielder becomes measurable against a 3rd-division equivalent in another country. Player development pathways become legible to scouts and federations on terms you control.

You getxG, touchmaps, defensive actions, comparative percentiles
03
Connect to what you already run

Federation IDs as foreign keys. Plug the data layer into your club-ops platform, broadcaster pipelines, or scouting systems. Or use our API directly. Either way, your data layer becomes the source of truth across whatever stack you already operate.

You getREST API, federation-ID interop (FIFA Connect, MySAFA, national)

For the first leagues we work with: founding-partner terms.

Pricing for the first cohort reflects the partnership. Founding partners shape the engagement, the ontology, and the integration roadmap. The data layer becomes legible on terms you helped write.

Begin a founding-partner conversation

People before product.

Distributed across Toronto, Istanbul, and the United States. Combined experience in working agent practice, ML engineering, legal, and commercial operations.

TE
Ty Ellis
Lead Founder · Product · Partnerships
Toronto
Working football agent. 5+ years in lower-tier industry.
LinkedIn
MT
Mert Tutcu
Technical Lead · Architecture · AI
Istanbul
ML engineer. Infrastructure builder.
LinkedIn
BD
Brandon Dean
Sales · Partnerships · BD
United States
Commercial operator across sport.
LinkedIn
MG
Matt Gionnas
Legal Operations · Policy
Toronto
Sports & data policy.
LinkedIn