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Sunday afternoon. A pub. The 4:30 kick-off. Liverpool beat Man United two-nil — Salah scoring in the ninety-third minute from an Alisson pass — and Anfield went absolutely mad. Eddie's been a Liverpool fan for the best part of fifty years. That kind of afternoon doesn't come around often. It was a good day.

Jay, for his sins, is a Leicester City fan. Two very different styles of football. Two very different people. But between them — sixty-odd years of genuine passion for sport, and a shared understanding of how markets work, where the margin is, and why most people get it completely wrong.

Eddie spent decades in IT — databases, systems, infrastructure — putting those skills to work across more roles than he can easily count. Jay brings something else entirely. He knows football better than most people know their own families. Transfers, injuries, the referee who hasn't booked anyone in six months, the striker carrying a knock nobody's reported yet. Results going back years, just sitting in his head. The kind of football knowledge you genuinely can't get from a spreadsheet.

That afternoon, same as plenty before it, the conversation turned to selections. Eddie'd work the numbers — corners, cards, first-half goals, the winner. Jay'd fill in everything the numbers couldn't see. They were close. Closer than they had any right to be.

That match got them talking. About the world that had built up around sports analysis online — Twitter, Instagram, TikTok, Reddit, the usual blogs. Both had watched it grow. What they saw wound them right up.

Self-styled analysts charging fifteen, twenty, fifty quid a month through PayPal. No accountability. No business structure. No record keeping. No way of complaining when the selections were rubbish — and they usually were. No transparency about where the data came from or what the actual results looked like. None of it.

And the selections themselves. That was the real problem. Decimal prices of 1.34, 1.47, 1.78 — and people celebrating six wins on the bounce as if they'd cracked some secret code. At those prices, the implied probability is already sky-high. The variance is enormous. Things that are "likely" don't always happen. That's not clever insight — it's just maths. Most of these people had no idea.

In America it's the same story — several hundred dollars a month for baseball and NFL coverage that's no better quality. Eddie and Jay knew they could do it properly. They just needed to prove it.

LogicMatch started as a hobby. Two mates, a daft idea, and the genuine belief they could do better than what was out there. What followed was five years. Hard work, long hours, missed time with family, and real money spent on data feeds, servers and infrastructure.

Eddie built the engine from scratch. Not scraping data from websites or guessing at numbers — proper certified Opta-grade data, the same feed used by professional clubs and broadcasters. Jay fed in the football intelligence: the context raw data simply can't tell you. Which referee is it today? Has it rained for four days? Is there a player carrying a knock nobody's filed a report about yet?

One formula became six. Six became dozens. The data sources multiplied. When AI came into the public arena, they both saw a place for it — a third layer that could cross-check everything faster and more accurately than any human could. As Jay's always said: "Like any sausage machine — you only get quality out if you put quality in." Getting the input quality right took serious time. It was worth it.

The system now runs twenty-four hours a day, seven days a week. Almost entirely automated. Thirty-plus individual algorithm checks on every statistic, every match, across all twenty-six leagues. The LogicMatch Brain reviews its own performance metrics weekly and is now starting to self-regulate and update its own parameters — it's not quite independent yet, but it's getting there. If both of them vanished tomorrow, it'd keep going. That was always the point.

LogicMatch was never meant to be a product. Never meant to be sold. But they looked at what they'd built, looked at everything else out there, and the answer was obvious. Share it. Properly. Transparently. At a price that doesn't put anyone off.

Neither of them are millionaires. They've got families, grandchildren, real outgoings. Good data costs money. So do virtual machines, servers and cloud infrastructure. But they've priced LogicMatch the way they think it should be — everything in from day one, nothing held back, nothing extra for different markets or leagues.

No complicated tiers. No hidden costs. No separate charge because you want corners markets or European leagues. Seven days free — see everything a full member sees. Then decide.

Managed through Telegram via mymembers.io. Cancel any time, no questions asked. Payments through Stripe. We're a small independent business and we keep our books properly.

LogicMatch is data-driven football analysis. What members choose to do with it — provided they're over 18 and acting responsibly — is entirely up to them.

Plenty of members use it for fantasy football leagues at work or with friends. Some use it to understand matches better before watching. Some use it as a second opinion alongside their own research. All completely valid uses of a membership.

If people choose to put real money behind any of our selections, they do so at their own risk. We provide data and mathematical analysis. We make no guarantee against variance — and neither can anyone else, if they're being honest with you. Markets shift. Form changes. A dismissal in the fifth minute turns everything on its head. That's football.

If we were truly beyond variance, we'd be picking the lottery numbers instead. We're not. What we are is more accurate, more data-led, and more transparent than almost anything else out there. That's the honest offer.