PropPrizm Insights

A tired bullpen forces a starter deeper, a fresh one yanks him early, and the books are slow to price either. Here's what the new bullpen freshness chip on PropPrizm tracks, why it moves K projections, and how to use it tonight.

Two pitchers with the same K/9 can have wildly different K projections depending on what pitches they throw and which lineup they face. Here's how to read pitch mix the way the model does, and why it beats season-long K rate every time.

Barrel%, hard-hit rate, and pull/fly-ball profile predict HR probability far better than season HR totals or slugging percentage. Here's what to look at — and what to ignore — when sizing up a home run prop.

Averaging lines across DraftKings, FanDuel, and BetMGM feels like a smart way to find fair value. But consensus has built-in distortions — hold percentage, correlated books, public shading — that make it a flawed proxy for true probability.

Most bettors price K props on pitcher rate and lineup K%. The third variable — who's calling balls and strikes — quietly swings projections by a full strikeout, and the books are slow to price it in.

Two pitchers with identical K/9. Two batters with identical SLG. But one pair plays in Coors Field and the other in Oracle Park — and the math on their props should look completely different. Here's why park factors quietly decide the outcome of more prop bets than most people realize.

Strikeout props are the sharpest market PropPrizm targets. Here's what to look for — matchup K%, park SO factor, umpire zone tendencies, and how to cross-reference the edge scanner with the matchup card to find the best spots.

Most bettors focus on winning individual bets. Sharp bettors focus on expected value. We break down what EV% means, why a positive EV bet can still lose, and how to think about prop betting as a long-run exercise rather than a pick-by-pick game.

Kalshi is a prediction market — not a traditional sportsbook. Its pricing often moves faster than sportsbooks when sharp money comes in. Learn how to use Kalshi implied probabilities as an early indicator of line movement before books adjust.