Quant model · verified record

AI sports betting predictions, graded against the closing line

Most "AI betting predictions" you find online are a black box with a confident tone and no receipts. Closeline is the opposite. It is a quantitative model that scores every game on the board across MLB, NBA, NHL and NFL, removes the sportsbook margin from each price, and surfaces only the bets where its estimate of the real probability is higher than the price implies. That gap — positive expected value, or +EV — is the entire point. There is no gut feel, no touts, no "lock of the day."

What makes a prediction trustworthy is not how it sounds; it is whether it is written down before the game and graded honestly afterward. Every Closeline pick is timestamped before first pitch or tip-off and settled automatically against the closing line, wins and losses alike. The full record — win rate, net units, ROI and closing-line value — is public, broken out by league and bet type. You can check our math instead of taking our word for it.

This page exists so you know exactly what you are getting: a repeatable, math-first process for finding mispriced lines, not a promise to win every night. No model beats variance in the short run, and anyone who tells you otherwise is selling something. What a good model does is stay on the right side of the price often enough that, over a large sample, the units add up. That is what we build toward, and what the public track record is there to prove.

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Verified track record

How the model actually makes a prediction

For each game the model estimates a true win probability (or a true total) from team strength, matchup, recent form and situational factors, then compares that estimate to the vig-free market price. When its number disagrees with the market by enough to clear the fees, it flags a +EV bet and attaches a confidence and a fractional-Kelly stake. When it agrees with the market — which is most of the time — it stays quiet. A model that finds an "edge" on every game is not finding edges; it is manufacturing them.

Why we grade against the closing line

The closing line is the last price a game trades at, after every sharp bettor has weighed in. It is the market's most efficient number, and beating it consistently (positive CLV) is the single best long-run predictor of whether a bettor is actually good rather than lucky. We grade every prediction against the close because it is a far harder, far more honest test than a short-term win rate — which is why we lead with it.

Frequently asked questions

Are AI betting predictions guaranteed to win?
No — and be skeptical of anyone who says otherwise. A model wins by being +EV over a large sample, not by winning every bet. Variance is real; the edge shows up over hundreds of graded picks, which is exactly why the record is public.
How can I verify the predictions are real?
Every pick is posted before the game and graded automatically against the closing line. The full win rate, units, ROI and CLV are on the public track record page, broken out by league and bet type.
Which sports does the model cover?
MLB, NBA, NHL and NFL — moneyline, spreads and totals, plus player props — each while the league is in season.
See the full card
Every pick, confidence and edge on each play, player props, and Kelly stake sizing — posted before games lock and graded against the close.
Analysis only · not financial advice · 21+ · bet responsibly