Football forecasts, researched by an AI analyst
Every morning a large language model reads the data, checks the news and publishes forecasts for the day's biggest matches. Each one is graded in public.
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ArchiveFirst-half total goals
under 1.5 first-half goals
Goals over/under 2.5
over 2.5 goals
Arsenal second-half goals
Arsenal over 0.5 goals in the second half
Home team to score
Real Betis over 0.5 goals
Goals over/under 2.5
over 2.5 goals
Both teams to score
both teams to score - yes
How it works
A tipster reads form, injuries, the referee and the odds, checks the news, and looks for where the bookmakers have it wrong. We do the same job with a large language model.
Gather
Each morning a script pulls the numbers for the day's biggest matches: form, expected goals, head-to-head, referee, absences and bookmaker odds.
Analyse
The model gets that data pack, searches the web for late team news and writes its forecast: its own probabilities next to the market's, and a pick only where it sees an edge.
Check and learn
The next morning every forecast is graded against the real result. When enough are in, a second pass reads where the model was over- or under-confident and rewrites the short list of rules it follows next time. We don't retrain the model itself — we retrain its playbook.
It is a language model, not an oracle, and it will be wrong. That is why every result stays public in the archive, and every forecast shows the data behind it.