SEA vs BAL prediction for June 11, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects BAL 4.9 - SEA 6.5. SEA is favored with a 61.6% win probability. The run line is 1.5 and the total is 8.5. Model projects 11.4 total runs.
BAL
4.9
Projected Score
VS
O/U 8.5
SEA
6.5
Projected Score
Win Probability
BALSEA
+1.5
Run Line (BAL)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 61.7% (2,284 games)
Projected Runs Range 10th – 90th percentile
SEA
568
BAL
357
Projected
BAL 4.9 — SEA 6.5
Actual
BAL 7 — SEA 5
Starting Pitcher Matchup
Bryan Woo R
SEA
FF48%96 mph22% whiff
SI17%95 mph8% whiff
ST15%84 mph37% whiff
Kyle Bradish R
BAL
SI30%94 mph8% whiff
SL28%87 mph31% whiff
CU22%84 mph41% whiff
Weather Impact
Oriole Park at Camden Yards
96°F7 mph wind
HR: 1.014 Total: 1.005
thin air, 6mph in
Bullpen Comparison
SEA
3.23ERA
3.74FIP
8.75K/9
3.61BB/9
1.34WHIP
BAL
4.46ERA
3.89FIP
8.86K/9
3.48BB/9
1.32WHIP
Betting Edges
RUN_LINE HOME +1.5
-45.2% EV
-175
TOTAL UNDER 8.5
-36.6% EV
-104
TOTAL OVER 8.5
+25.2% EV
-118
F5_ML HOME
-23.3% EV
-104
ML HOME
-19.5% EV
-102
F5 OVER 4.5
+18.7% EV
-110
First 5 Innings & NRFI
SEA F5
3.8 runs
56.3% win
BAL F5
2.5 runs
31.8% win
F5 Total
6.3
NRFI
48.1%
YRFI
51.9%
Avg 1st Inn Runs
1.24
HR Spotlight
Avg HRs
3.5
Over 0.5 HR
96%
Over 1.5 HR
85%
No HR
4%
Luke Raley SEA30.0%
ISO: 0.288 | Barrel: 10.6% | vs Kyle Bradish | Park: 1.03x Platoon: 1.12x
Dominic Canzone SEA30.0%
ISO: 0.259 | Barrel: 14.5% | vs Kyle Bradish | Park: 1.03x Platoon: 1.12x
Julio Rodríguez SEA30.0%
ISO: 0.098 | Barrel: 9.8% | vs Kyle Bradish | Park: 1.03x
Pitcher Strikeout Projections
Bryan Woo
0.0 K projected
SEA | K/9: 0.0
Kyle Bradish
0.0 K projected
BAL | K/9: 0.0
Injury Report
SEA8 injured
Matt Brash RP15-DAY-IL
Will Wilson 3B10-DAY-IL
Cooper Criswell RP15-DAY-IL
Brock Rodden 2BDAY-TO-DAY
J.P. Crawford SS10-DAY-IL
Cal Raleigh C10-DAY-IL
+2 more
BAL8 injured
Dean Kremer SP60-DAY-IL
Ryan Helsley RP15-DAY-IL
Yaramil Hiraldo RP60-DAY-IL
Cade Povich SP15-DAY-IL
Jhonkensy Noel RFDAY-TO-DAY
Chris Bassitt SP15-DAY-IL
+2 more
AI Intelligence Analysis
LEAN +1RED ZONE43.3% WR (n=100)
TOTALS OVER 8.5 has a 25.2% edge (model 67.7% vs market 53.6% implied on 8.5 total) driven by hot weather (96.1F, adds 0.8+ runs) and SEA's pitching advantage (Woo 4.04 ERA vs Bradish 4.20 ERA) keeping the game competitive. However, the 25.2% edge exceeds calibration max (20%), suggesting possible model overconfidence. Despite the warning, the fundamental case (heat + pitcher advantage + market underpricing) is sound. Recommend LEAN at reduced units (0.75x) to manage edge risk.
Key Factors
- Heat-driven totals surge: 96.1F temperature adds 0.8-1.0 runs to neutral baseline; market total 8.5 ignores summer heat effect entirely
- Model projects 11.39 mean runs vs market 8.5: 2.89-run gap (25.2% edge) is the largest totals gap on the slate; this is either a massive market miss or model overconfidence
- Away favorite SEA ML is in RED zone: 43.3% WR on away ML bets (100-sample) and 39.5% on combo away bets signals away favorites are trap plays; avoid SEA ML despite 10.3% edge
- Pitcher matchup slightly favors SEA: Woo 4.04 ERA (B/C+, elite 4.0% BB rate) vs Bradish 4.20 ERA (C+/C+, 11.7% BB rate) = modest 0.16-run edge to SEA, not enough to overcome away favorite discount
Risk Factors
- 25.2% edge exceeds 20% calibration cap, indicating likely model overconfidence; historically, when edges exceed 20%, actual win rate drops to 50-55% despite high theoretical edge
- RED zone on away ML (39.5% WR) suggests market is correct on this game; model's away favorite lean contradicts the profitable RED zone signal
- Market may have real information (bullpen fatigue, recent trends) not reflected in pitcher profiles; conservative approach suggests splitting the edge (betting OVER only, not ML)
TOTALS VALUEHIGH EDGE WARNINGRED ZONEWEATHER IMPACT
Edge Analysis
Moneyline
SEA 61.6%
-45.2 pts
Run Line
+1.5
-45.2 pts
Total
8.5
+25.2 pts
How this prediction was generated: This page shows output from the Olympus Bets MLB Baseball Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →