How It Works

The MLB model has been running in shadow mode since late March. Here's what two months of silent predictions revealed about baseball markets.

# How the model handles a two-game night.

Not every moneyline is wrong. But when one is, the gap between market price and true probability is where disciplined bettors find edge.

# The 40-minute game: how pace and possessions reshape WNBA edges.

After 100 graded signals, we have enough data to separate real patterns from noise. Here's what the model's track record actually shows.

# Why WNBA lines move different than NBA lines.

Before any model goes live on Sharp Picks, it runs in shadow mode - generating picks against real lines that no user ever sees. Here's why.

SharpPicks MLB is in calibration phase. Here is what that means: how the model earns confidence, what we measure, and why early transparency matters.

Baseball and basketball are different sports with different market dynamics. Here is how the SharpPicks MLB model differs from NBA.

# Series pricing: why Game 1 and Game 5 are different bets.

Our model is 30% model, 70% market. That sounds like the model barely has an opinion. That's exactly right. And that's why it works.

NBA edges live in the number. MLB edges live in the price. Same math, different expression.

Calibration phase means the model is publishing real picks against real lines and grading every one. The track record builds in front of you.

MLB gives us 2,430 regular season games. More opportunities to find edges. More opportunities to do nothing.

Three times a day, Sharp Picks pulls lines from six sportsbooks. Here's what happens next.

Everything you need to know to read your signals, understand your results, and use the app with confidence.

People hear “machine learning model” and picture a black box. Data goes in, picks come out, nobody knows why. That’s not how Sharp Picks works.

Most bettors judge a pick by whether it won or lost. Sharps judge it by something more important: where the line moved after they bet.

Point spreads are not predictions. They are prices. Understanding this distinction is the first step toward thinking like a sharp.