But how do you know who to believe?
I'm not a betting expert. And seeing people put real money behind predictions they barely understand made me wonder whether there could be a better way.
That's why I started AIONORA.
I wanted to build something that does the hard work: studies the game, checks the latest information, looks at both sides and challenges its own conclusions.
Not just another prediction. A prediction with a reason behind it.
And yes, our ambition is big. We want to develop an algorithm that becomes exceptionally accurate and genuinely useful.
We're not there yet. We still have to prove what our models can do.
But that's what we're working towards: a system that people can evaluate by its results, understand through its reasoning and, eventually, have good reasons to trust.
If we get something wrong, that matters too.
OUR VISION
To build something that actually works.
That means using current evidence, checking our assumptions and seeking independent validation — not publishing confident claims for their own sake.
It also means sharing what we learn, including the mistakes, and being honest about what the research has not yet shown. We hope AIONORA becomes genuinely useful to people who love sports and want to understand the reasoning behind forecasts.
Whether the models can achieve an enduring advantage is still an open question. We want the evidence to decide.
Because the goal isn't to look convincing.
It's to build something that actually works.
Our forecasts are estimates, not guaranteed outcomes. Model accuracy and any financial advantage must be demonstrated with prospective results. Betting involves financial risk.