We started by beating the bookmakers.
Then we taught a model to do it.
Blowout began in 2020 as four tipsters in a Telegram group, hunting the high-value bets the books mispriced. We're a rare mix — proven bettors who are also data scientists and engineers — so we turned that winning instinct into a fully automated, data-backed model.
2020
Founded
4
Founding tipsters
70%+
Avg hit rate
1.7
Avg odds
Four tipsters, one obsession
From a lockdown Telegram group to a model that prices every match — here's how we got here.
It started in lockdown
During the COVID period, four of us turned a shared obsession with football and numbers into a Telegram group and an Instagram page. We posted betting tips — and we were honest about the results.
A track record, not a promise
We never chased longshots. We specialised in high-value bets at fair prices — averaging a 70%+ hit rate around 1.7 odds, the kind of edge that actually compounds into real ROI.
Sharpening the edge
Season after season we refined the process — new strategies, tighter staking, deeper reads on where bookmakers misprice a match. The goal never changed: beat the book.
We taught a model to think like us
We built our own model to mimic exactly how we pick — value first — but fully automated, backed by data, and priced in real time across every match.
Our edge is a discipline
Value over volume
We back a lean only when the price is worth it — bounded value, never reckless longshots.
Built to beat the book
Every pick starts from one question: where has the bookmaker mispriced this match?
Backed by data
A goals model trained on thousands of fixtures, blended live with market odds — no gut calls, no hype.
Honest and on the record
Every pick is graded in public at full time — wins and misses both. Nothing hidden.
Real bettors who can build the model
Most tipsters can't code. Most data scientists don't bet. We're both — a team of proven bettors with data-science and software-engineering backgrounds. That overlap is rare, and it's exactly why we could turn a winning betting instinct into a model that thinks the same way.
Proven bettors
Years of profitable, public tips — the instinct for where the bookmaker hides value.
Data science
Statistical modelling and calibration that turn that instinct into hard probabilities.
Software engineering
The systems that run it live and fully automated, every single match day.
Bettor's instinct × data science × engineering
The same instinct, now automated.
The model does in seconds what used to take us hours: read the match, find the value, price it honestly — then grade itself in public. It's the four-of-us approach, scaled and made accountable.
3,593
Fixtures trained on
104
World Cup matches priced
<1 min
From data to pick
100%
Graded in public
See the model at work
Today's card is already priced — every pick on the record.