MatchDataIntel

Football analytics · Steps 3–6

Your season, on the clock

Every Saturday, Tuesday (and possibly other days), lower-league clubs generate a season's worth of data — goals, cards, substitutions, minutes — and almost none of it ever comes back to them in a form they can use. Match Data Intel is being built to change that.

The Ninety

The idea the whole site is built around. Every goal in a season placed on a real minute axis — scored above the line, conceded below — so a pattern that's invisible in a results table becomes obvious in one glance.

Scored Conceded Diagram — illustrates how the chart reads, not a real season

What it does

Non-league match data is event data: what happened, and what minute it happened in. That's a narrower foundation than the professional game works from — but used properly it answers questions a manager actually asks.

01

Goal timing

When a side scores and concedes across a whole season. Late collapses, slow starts and second-half surges show up as shapes, not anecdotes.

02

Squad load

Who is carrying the season. Rotation, reliance on key players and how substitution patterns change as a campaign wears on.

03

Form and shape

Points accrual against the pace needed for a play-off place or safety, home and away splits, and margins of victory and defeat.

04

Opposition profiling

The same read on next Saturday's visitors. Where they're vulnerable in a match, who scores their goals, and when.

Who it's for

The same underlying data serves three different readers, and they don't want the same things.

Clubs

Managers and coaching staff who want to know what's happening across a season, not just last Saturday. The detail sits behind a login, so a club's own analysis stays its own.

Leagues

Competition-wide health — attendance, competitive balance, how a division is developing over time. The picture a league can't get from twenty-two separate spreadsheets.

Supporters

Open, factual pages for anyone who follows the game at this level. Results, tables and goal timings, presented properly rather than buried in a fixture list.

What it won't do

Plenty of football analytics is sold on things the underlying data can't actually support. It's worth being straight about the limits from the start.

  • No expected goals, shot maps or heat maps. Those need on-ball tracking data that doesn't exist at this level. Anything claiming otherwise is guessing.
  • No data on match officials. Referee-level statistics get used as a stick to beat volunteers with. It isn't recorded here and it won't be published.
  • No numbers without a source. Every figure traces back to a recorded match event. Where the data is incomplete, the page says so rather than filling the gap.
  • No predictions or ratings. This describes what happened. It doesn't pretend to know what happens next.
In development · 2026

Early, and looking for the right first clubs

Match Data Intel is being built now, with a full season of real match data already behind it. If you're at a club or a league and this sounds useful — or useless, which is just as worth knowing — We'd like to hear from you.

Tell us what you'd actually use

The quickest way for this to become genuinely useful is for someone inside a club to say which parts matter and which are noise. No commitment, no pitch.

Get in touch See a demo