The Market Is Smart. We're Smarter.
Six AI layers fuse ML ensembles, live market odds, news sentiment, and real-time intelligence into calibrated sports predictions. Trained on 95,000+ real games. Proven against the betting market.
Kansas City Chiefs
vs Philadelphia Eagles
NFL · Sun, Mar 2 · 4:25 PM ET
Home Win
67.2%
vs market odds
Active Signals
Even the Sharpest Markets Leave Gaps
Betting markets aggregate millions of dollars in wisdom. They're good — but they can't process every signal simultaneously. That's where we come in.
What the Market Sees
Priced into the odds already
Team win/loss records and rankings
Public betting volume and line movement
General roster strength and matchup history
Good baseline — but incomplete.
What the Market Misses
quantifAI captures these in real-time
Last-minute injuries & lineup changes detected by AI in real-time
Weather at the exact venue — rain, wind, and temperature impact on outdoor games
Breaking news sentiment shifts that odds haven't priced in yet
Back-to-back fatigue patterns and rest day differentials the market underprices
This is your edge. The market plus what the market can't process fast enough.
Six Layers of Intelligence
Every prediction flows through six independent signal layers. Each layer adds information the others don't have. The result: calibrated probabilities you can trust.
Sport ML Ensemble
Three models stacked — Elo-Logistic baseline, LightGBM, and CatBoost — each trained on real historical data. A meta-learner fuses them with isotonic calibration for well-calibrated probabilities.
Live Market Odds
Aggregated across multiple bookmakers via The Odds API. Vig-removed, averaged to a true consensus probability. The market is our strongest single input.
Text Intelligence
A Metaculus-trained classifier analyzes the prediction question framing. Acts as a regularizer — pulling extreme estimates back toward sensible ranges.
News Sentiment
Real-time scanning of sports news for team-specific positive and negative signals. Injury reports, coaching changes, and momentum shifts the odds haven't priced yet.
Gemini AI Intelligence
Google Gemini with grounded web search analyzes breaking injuries, lineup announcements, and coaching decisions. The final layer of context that transforms a good prediction into a great one.
Weather Risk
Open-Meteo forecast at the exact game venue. Precipitation probability, wind speed, and temperature shrink confidence for outdoor sports — because weather is chaos the model shouldn't fake certainty about.
Final Output
Calibrated Probability
See a Forecast In Action
Every prediction comes with full transparency — signal breakdowns, driver explanations, and market context. No black boxes.
Kansas City Chiefs vs Philadelphia Eagles
NFL · Sunday, March 2, 2026 · 4:25 PM ET
Confidence
High
Home Win Probability
67.2%
Signal Breakdown
Market Probability History
Home win implied probability over last 7 days
Key Drivers
Q Intelligence Summary
Chiefs hold a significant home-field advantage with Mahomes confirmed healthy after Thursday practice. Eagles' secondary depleted with two starters on IR. Weather conditions favor passing game. Historical H2H strongly favors Kansas City in recent matchups at Arrowhead.
Tested on Real Games. Real Results.
We test every model against thousands of real historical games — and we show you the full picture, wins and gaps included.
95,146
Total Games Analyzed
13,941
Test Games
4
Sports
NFL
25% more accurate than the betting market
Our NFL model finds edges in weather data, rest schedules, and spread conversions that oddsmakers undervalue. Statistically proven across 2,132 test games.
Prediction Accuracy
Soccer
Matches the world's most efficient market
Soccer betting markets are the sharpest in the world. Our model matches their accuracy — which is actually remarkable. When 5 bookmakers disagree, we find signal.
Prediction Accuracy
MLB
Finds real patterns in baseball's long season
Pythagorean expectation, Elo ratings, and doubleheader fatigue — our model finds statistically significant edges even without real market odds data.
Prediction Accuracy
NBA
Back-to-back detection works — needs more data
Our back-to-back fatigue model shows promise, but with only 855 games so far, we need more data before calling it proven. Actively expanding.
Prediction Accuracy
Why we show everything
Most prediction sites hide their losses. We don't.
We show every sport — including the ones where we haven't proven an edge yet.
NBA & MLB don't have real Vegas odds in training — those comparisons are against a coin flip baseline.
Our fusion weights are hand-tuned, not auto-learned. Future versions will optimize these from data.
Every Game. Every Edge. Every Signal.
Four sports. Thousands of matchups per season. Every prediction built from six intelligence layers — not gut feeling.
Where Bookmakers Disagree, We Find Value
We ingest odds from 5 bookmakers. When they disagree, our model finds the signal in the noise. Covering 8 leagues from the Premier League to the Eredivisie.
45,007 games
trained on
The 25% Edge the Spread Doesn't See
Weather at the stadium. Rest days between games. Spread conversions the market underprices. Our NFL model shows statistically significant improvement over Vegas lines.
25.36%
Brier improvement
Back-to-Backs Are the Market's Blind Spot
When a team plays two nights in a row, fatigue is real but underpriced. Our model tracks rest patterns and game-to-game fatigue the odds don't fully reflect.
Building
more data coming
162 Games Is a Feature, Not a Bug
Baseball's long season creates rich patterns. Pythagorean expectation, bullpen usage in doubleheaders, and 35,000 games of training data make every series predictable.
34,913 games
trained on
Be the First to Predict Smarter
We're onboarding early users who want data-driven sports predictions built on real science, not hype. Spots are limited.
The Market Is Smart.Be Smarter.
Join the beta and get access to six-layer AI predictions for NFL, Soccer, NBA, and MLB — backed by 95,000 games of real data.