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.
Football analytics · Steps 3–6
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.
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.
When a side scores and concedes across a whole season. Late collapses, slow starts and second-half surges show up as shapes, not anecdotes.
Who is carrying the season. Rotation, reliance on key players and how substitution patterns change as a campaign wears on.
Points accrual against the pace needed for a play-off place or safety, home and away splits, and margins of victory and defeat.
The same read on next Saturday's visitors. Where they're vulnerable in a match, who scores their goals, and when.
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.
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.
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.
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.