Hits
MLB player prop model
Player props,
priced like probabilities.
Posterior does not run one generic projection across every prop. Each market family gets its own probability head — a beta-binomial for the hits ladder, a negative binomial for pitcher strikeouts, a compound distribution for total bases — and each pick is graded against the no-vig market before it can publish. The settled results, split by family, are on this page.
Hits ladder
Beta-binomial
1+, 2+, and 3+ hits are priced from one posterior count distribution, not three guesses.
Strikeouts
Neg. binomial
Pitcher K ladders carry an explicit dispersion parameter for honest game-level variance.
Total bases
Compound
Singles through homers are convolved per plate appearance into a full bases distribution.
Season-to-date
Win rate by prop market family
Audited season record
Season ROI (all markets)
+3.7770%
Flat 1u return over 2156 priced rows — every market family, wins and losses together.
01 / Intent
Strikeouts
Negative-binomial K counts
Total bases
A compound bases distribution
Promotion
Challengers earn the chair
02 / How it works
Step 01
Estimate true probability
The market-specific head produces the probability: beta-binomial for hits, negative binomial for strikeouts, compound convolution for total bases, with matchup and game-context inputs at the player level.
Step 02
Remove market noise
Book prices across allowlisted sportsbooks are converted into a no-vig consensus, so the model is compared against a fair market baseline rather than one book's margin.
Step 03
Score the edge
A prop becomes a candidate only when the gap between model probability and market probability is large enough, at a fresh quote, in a market deep enough to trust. Most generated rows never publish.
Step 04
Settle, then recalibrate
Resolved rows feed the public ledger and the exact-threshold calibration tables. A rung of the ladder that keeps missing its prices gets its calibration adjusted on evidence, not on narrative.

Public proof
The market matters as much as the projection.
A high raw probability can still be a bad pick if the line is already priced correctly.
03 / Questions
Which MLB player props does Posterior cover?
The publishing families are the hits ladder (1+, 2+, 3+ hits), total bases and alternate total bases, hits-plus-runs-plus-RBI combinations, home-run-related markets, and pitcher strikeout ladders. Coverage on any given day depends on whether the provider posts the market, the quote is fresh, and the model finds an edge — the family win rates above show what has actually been published and settled this season.
Why would a prop be excluded from the board?
The most common reasons: the edge over the no-vig consensus is too small to grade, the only available quotes are stale or from books outside the allowlist, the lineup slot or starting pitcher is unconfirmed, or the market fails a runtime quality check. Exclusions are archived as WAIT or PASS decisions with their reasons, so the silence is auditable too.
Is the model's prop record public?
Yes. Settled prop rows are released through the delayed ledger at https://posterior.pro/data with model probability, market reference, and outcome, and the per-family aggregates on this page come from the same public accuracy contract at https://posterior.pro/mlb/accuracy. Live, unplayed rows stay inside Posterior Pro until they settle.
Why do different prop markets need different model heads?
Because the underlying random variables behave differently. Whether a batter gets a hit is a per-at-bat rate problem, which the beta-binomial handles naturally. Strikeout totals are over-dispersed counts — aces have genuinely wider games — which is what the negative binomial's dispersion parameter captures. Total bases depend on the mix of singles versus extra-base hits, so they are convolved outcome by outcome. One shared template would misprice all three.
What does the Brier score next to each family mean?
Brier score is the mean squared error of the model's stated probabilities against actual outcomes — lower is better, and a coin-flip forecaster sits near 0.25. A family can post a decent win rate while scoring poorly if the model was timid on winners or loud on losers, which is exactly the kind of gap the calibration pass is designed to catch.
Posterior is baseball data, not a sportsbook. The public receipt lives at /data, the methodology lives at /methodology, and today's board starts at /today.
