AI for NFL: American football predictions with a value model

How the AI reads an NFL game

The AI starts from each team’s real stats — offensive and defensive output, home field, rest between games — and turns them into a win probability. Then it faces that against the bookmaker’s odds: when its number is higher than the one the odds imply, there’s value, and that’s when it publishes the pick.

Which markets it covers

• Match winner (moneyline), the most direct market.
• Spread (handicap), when the expected margin has value.
• Totals (over/under points) in games with a clear offensive or defensive profile.

It only publishes when there’s value

It’s the same logic the AI uses in soccer and baseball: it doesn’t predict every game, only the ones where the odds pay more than the real risk justifies. The confidence level depends on the size of that edge.

Everything verifiable

Each pick is published before kickoff, with its reference odds, and auto-resolves from the official result. Wins and losses stay in the public track record: nothing gets deleted.

Frequently asked questions