Don't Let
One Game
Ruin Your Parlay

The odds already know about the injury reports. They don't know you.
A neural network trained on your betting patterns, not team stats.

Free to start · No credit card required

Yankees vs Red Sox 78% confidence
Lakers vs Celtics 61% confidence
Bengals vs Browns 23% confidence
This pick matches a pattern where you historically overestimate favorites. You've done this 8 times. It hit twice.

Three Steps. Your Data. Real Patterns.

1

Build your parlay

Pick 3-8 games like you normally would. Then fill out 11 quick variations. This gives the model enough signal to find your patterns.

2

The model learns you

A neural network trains on your decisions. Where you hesitate. When you go contrarian. Which picks stay consistent. What you don't consciously notice.

3

See your blind spots

The model flags when you're doing something that historically hasn't worked. Not "this team will lose." Instead: "you tend to lose when you do this."

Public Data is Already Priced In

You read: "Starting pitcher has a 2.1 ERA"
The market: Already moved the line 45 minutes ago
You hear: "Key player questionable with ankle"
The market: Adjusted before the press conference ended
You notice: "They're 8-2 in their last 10 home games"
The market: Has had that data for years

Every edge you think you found? The market found it first. The only data they can't price in is how you make decisions. That's what we analyze.

Predictions About You, Not Teams

These percentages aren't "team X will win." They're "based on your patterns, here's how likely this pick is to hit." The model reads you, not the game.

MLB · Evening
Cleveland Guardians -145
80%
Chicago Cubs +125
20%
NFL · Sunday
Philadelphia Eagles -142
34%
Dallas Cowboys +120
66%
Pattern detected You pick against Dallas when they're underdogs at home. Historically, that's hit 71% of the time for you.
NBA · Night · Blind Spot
LA Lakers -340
41%
Sacramento Kings +270
59%
Warning Heavy favorites in late games. You've picked this pattern 14 times. It's hit 3 times.

Patterns We Catch

  • Confidence levels that don't match your historical success
  • Contrarian picks: sometimes signal, sometimes noise
  • Late changes toward underdogs (often instinct, not analysis)
  • Systematic overconfidence on specific leagues or time slots

What We've Seen

From users who completed 20+ parlays and trained their own models.

70.1%
Average hit rate on model-flagged picks
(vs 51.2% baseline)
73%
Of users had at least one blind spot pattern they weren't aware of. Most had three.
40+
Parlays needed before meaningful predictions. The model needs your data. Patience required.

Questions

Why 11 iterations? That seems annoying.

It is. But one parlay is just a data point. 11 variations reveal behavioral patterns: where you hesitate, what stays consistent, when you go contrarian. That's the signal the model learns from.

How can it predict without team statistics?

We're not predicting game outcomes. We're predicting which of your picks will hit based on your historical patterns. If you have a 71% success rate on a certain type of pick, and you're making that pick now, that's actionable.

Will this make me win more?

It depends on the strength of your patterns and what you do with the information. The model surfaces blind spots. Whether that translates to better results is up to you.

How does the neural network work?

Transformer model trained on your behavioral data: conviction levels, selection patterns, timing, consistency across iterations. The attention mechanism picks up relationships between picks in your parlay. No team stats. Just you.

How much data does it need?

Meaningful output starts around 20 completed parlays. Users with 100+ see noticeably better predictions. The more you give it, the sharper it gets.

The market has all the public data.
It doesn't have yours.

Build your first parlay. Train a model on your patterns. Find out what you're actually doing.