MLB Baseball

BAL vs SEA Prediction

June 16, 2026

10,000 Monte Carlo simulations

BAL vs SEA prediction for June 16, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects SEA 4.8 - BAL 4.8. SEA is favored with a 51.2% win probability. The run line is -1.5 and the total is 7.5. Model projects 9.6 total runs.

SEA
4.8
Projected Score
VS O/U 7.5
BAL
4.8
Projected Score
Win Probability
51.2%
48.8%
SEABAL
-1.5
Run Line (SEA)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 57.1% (2,386 games)

Projected Runs Range 10th – 90th percentile

BAL
357
SEA
357
FINALSEA 3 — BAL 1
Projected
SEA 4.8 — BAL 4.8
Actual
SEA 3 — BAL 1

Starting Pitcher Matchup

Brandon Young R
BAL
FF39%94 mph19% whiff
FS21%85 mph16% whiff
SL15%83 mph43% whiff
Logan Gilbert R
SEA
FF33%96 mph17% whiff
SL24%86 mph36% whiff
FS15%81 mph38% whiff

Weather Impact

T-Mobile Park
70°F10 mph windRoof: retractable
HR: 1.043 Total: 1.024
6mph out

Bullpen Comparison

BAL
4.34ERA
4.01FIP
8.76K/9
3.44BB/9
1.30WHIP
SEA
3.37ERA
3.72FIP
8.85K/9
3.64BB/9
1.33WHIP

Betting Edges

RUN_LINE AWAY +1.5
-32.4% EV
-175
TOTAL UNDER 7.5
-20.2% EV
-104
F5_ML HOME
-15.6% EV
-167
F5 OVER 4.5
+12.8% EV
-104
ML HOME
-11.9% EV
-147
TOTAL OVER 7.5
+9.7% EV
-118

First 5 Innings & NRFI

BAL F5
2.7 runs
43.0% win
SEA F5
2.8 runs
43.8% win
F5 Total
5.5
NRFI
49.1%
YRFI
50.8%
Avg 1st Inn Runs
1.16

HR Spotlight

Avg HRs
2.5
Over 0.5 HR
91%
Over 1.5 HR
72%
No HR
9%

Pitcher Strikeout Projections

Brandon Young
0.0 K projected
BAL | K/9: 0.0
Logan Gilbert
0.0 K projected
SEA | K/9: 0.0

Injury Report

BAL8 injured
Dylan Beavers RF10-DAY-IL
Ryan Helsley RP15-DAY-IL
Ryan Mountcastle 1B60-DAY-IL
Dean Kremer SP60-DAY-IL
Yaramil Hiraldo RP60-DAY-IL
Cade Povich SP15-DAY-IL
+2 more
SEA8 injured
Cal Raleigh C10-DAY-IL
Josh Naylor 1BDAY-TO-DAY
Andres Munoz RPDAY-TO-DAY
J.P. Crawford SS10-DAY-IL
Randy Arozarena LFDAY-TO-DAY
Dane Dunning RPDAY-TO-DAY
+2 more

AI Intelligence Analysis

LEANYELLOW ZONE50.1% WR (n=198)
OVER 7.5 has +9.7% edge (59.3% model vs 49.6% market) — solid value with weather support. Model projects 9.56 total (2.06 run swing to over). Logan Gilbert (3.91 ERA, B 0.602) faces Brandon Young (3.28 ERA, C+ 0.379) — BAL pitcher is superior. Weather helps overs: 69.5F warm, 9.8 mph wind blowing OUT (+5.6 tail-wind) = RUN-FRIENDLY. Park factor 0.89 (T-Mobile suppresses runs -11%) partially offsets weather but net is still over-friendly.

Key Factors

  • Pitcher quality: Gilbert 3.91 ERA (B 0.602, 0.526 stuff) vs Young 3.28 ERA (C+ 0.379, 0.228 stuff) — Young has better ERA but Gilbert has superior stuff (0.526 vs 0.228). Slight nod to Gilbert
  • Wind blowing OUT (+5.6 tail-wind) at 9.8 mph = RUN-FRIENDLY. Increases HR distance by 1-2%, adds ~0.3-0.5 runs
  • Temperature 69.5F is warm (below 75F but neutral-to-slight advantage for hitting)
  • Park factor 0.89 (T-Mobile suppresses -11%) is significant SUPPRESSION. But weather inflation + pitcher parity + F5 edge overcome it
  • F5 edge +12.8% (57.5% prob OVER 4.5 in first innings) — strong early-inning signal

Risk Factors

  • YELLOW zone totals (50.1% WR, n=198) — no edge. Historical totals profitability is weak regardless of edge size
  • Park suppression (-11%, T-Mobile) is real and significant. Model may overweight weather inflation
  • Edge 9.7% is below optimal 5-10% profitable band (10-15% shows 37.5% WR). Marginal expected profitability
Sharp MoneyWith ModelLine likely opened 7.0, now 7.5 suggests mild OVER action. Market slowly respecting weather and F5 advantage but not fully pricing wind out.
PITCHER MISMATCHTOTALS VALUEWEATHER IMPACTPARK FACTORF5 EDGE

Edge Analysis

Moneyline
SEA 51.2%
-7.7 pts
Run Line
-1.5
-7.7 pts
Total
7.5
+9.7 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 →

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