The data behind a lean.

Stack any filters (home or away, total, day or night, wind, park, after a win) and the database returns the over/under and side record, with the sample size on every number.

Any pitcher, pitch by pitch from Statcast: arsenal, velocity, whiff rate and xwOBA, sliced by pitch type and batter hand.

How a hitter actually does vs each pitch type, velocity band, and pitcher hand: whiff, xwOBA, hard-hit, the sample shown.

Open to now across the books: how the total and the moneyline moved, with steam and reverse-line-movement flagged.

Same bet, best price. Every book’s number side by side, the best available highlighted, and the edge you give away by not shopping.

Plate-umpire run environment: games worked, average total runs, and the over rate vs the number, with the sample behind it.

Probable-starter pitch mix from Statcast: every pitch type, usage share, and the markets attached to today’s arms.

Park factors for runs and home runs, with the league baseline and the sample behind every number.

Every posted batter prop and pitcher-K prop on the slate vs its consensus line: how often the player actually cleared the number, L10/L20/season, with x/n on every cell.

The closing price at every book for any MLB game since April 2021, plus a grader that scores the price you got against the de-vigged consensus close.

The strikeout-prop edge engine: every starter with a posted K line, model projection vs the market, ranked by edge.

Every research angle graded live: validated, watching, and killed, each with its real sample size and CLV, plus a noise-band chart so a small sample can’t pass for proof.

Confirmed and projected lineups with batting order, live in every game cockpit on the board.