Baltimore Orioles at Boston Red Sox
Ω
OMEGA PICK
60%
Lean
TOTAL
UNDER
22.5
simulation simulation shows 70.0% under probability on total of 22.5 — a strong signal from 10,000 sims. scoring model projects 20.1 combined runs.
Ω Bottom Line
No edge found: Bayesian posterior (56.4%) matches market (57.0%), Monte Carlo under 22.5 at 70% but totals are weakest market — passing all picks due to degraded data quality.
Game Analysis
No sportsbook odds available — all lines are model-generated from Poisson+ELO projections. Bayesian fusion shows market prior (57%) and model posterior (56.4%) nearly aligned, producing -0.6pp edge. Monte Carlo sims project 20.1 total runs with 70% under probability on 22.5, but totals are historically the weakest market (48.7% WR). Whale signal shows $113K institutional volume on HOME side, but without sharp book confirmation this is an incomplete signal. Both teams have ~7% injury impact from key IL players. Data quality is degraded at 56% — missing pitchers, weather, and sharp book data. No actionable edge exists; all picks are PASS with LEAN confidence.
Correlated Player Props
PROP ALERT
Willson Contreras
Baltimore Orioles
Over 0.5 hits
58%
Contreras leads Orioles with .285 AVG and 62 RBIs. Model projection suggests >0.5 hits is likely given his consistent production. Cap at 60 due to unvalidated roster.
PROP ALERT
Pete Alonso
Baltimore Orioles
Under 0.5 home_runs
55%
Alonso leads team with 21 HRs but HR/game rate is ~0.13. Under 0.5 HR is the default probability (~87%). Cap at 55 due to no market comparison.