MLB model picks

One drop per game, published 60 minutes before it starts, then graded in public. 97 MLB games priced so far.

Coming up

Games with a validated drop, soonest first.

Graded

Newest first, with the win–loss of that game’s recommended (tier A/B) legs.

How a drop works

A Python model prices every market from public data
Its probabilities meet the posted line; the gap is the edge
The drop opens 60 minutes before the game
Every leg is graded in public once the game ends

Tier A is an edge of six points or more and tier B three to six; both are recommended. Tier C is below three points — it is shown for completeness and is never recommended. A prop market whose calibration gate is failing is marked watch: the model prices it, the record grades it, and nothing here recommends it.