SEA vs LAA prediction for April 5, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects LAA 6.2 - SEA 4.1. LAA is favored with a 70.4% win probability. The run line is 1.5 and the total is 9.0. Model projects 10.3 total runs.
LAA
6.2
Projected Score
VS
O/U 9.0
SEA
4.1
Projected Score
Win Probability
LAASEA
+1.5
Run Line (LAA)
9.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 76.4% (880 games)
Projected Runs Range 10th – 90th percentile
SEA
246
LAA
468
SOLID
1.5u
Ryan Johnson OVER 4.5 Ks
Edge: 16.0% | Odds: 138
**Play:** Ryan Johnson OVER 4.5 Ks (+138) | 1.5u
Ryan Johnson projects at 5.2 K mean driven by a 23% strikeout rate.
**Key Factors:**
- Model projection: 5.2 K mean vs line 4.5
- Starting pitcher: Ryan Johnson (17.50 ERA)
**Edge:** 16.0% | EV +46.1% | Model: 61%
*Market prices 42%, model sees 61%.*
**Key Risk:** Market at +140 (41.7% implied) vs model 65% is a 23-point gap — largest disagreement on slate
Starting Pitcher Matchup
Luis Castillo R
SEA
FF46%92 mph8% whiff
ST25%81 mph46% whiff
SI16%91 mph10% whiff
George Klassen R
LAA
FF45%98 mph33% whiff
CH30%89 mph15% whiff
SL13%92 mph0% whiff
Weather Impact
Angel Stadium
83°F8 mph wind
HR: 0.992 Total: 0.993
thin air, 8mph in
Bullpen Comparison
SEA
6.00ERA
4.32FIP
9.41K/9
5.73BB/9
1.84WHIP
LAA
4.86ERA
4.76FIP
9.51K/9
4.41BB/9
1.55WHIP
First 5 Innings
SEA
2.2 runs
LAA
3.8 runs
F5 Total
5.9
Injury Report
SEA6 injured
Brendan Donovan 2BDAY-TO-DAY
Carlos Vargas RP15-DAY-IL
Miles Mastrobuoni 3B10-DAY-IL
Bryce Miller SP15-DAY-IL
Brennen Davis CFDAY-TO-DAY
Logan Evans SP60-DAY-IL
LAA8 injured
Ryan Johnson RPDAY-TO-DAY
Kirby Yates RP15-DAY-IL
Vaughn Grissom 2B10-DAY-IL
Ben Joyce RP15-DAY-IL
Grayson Rodriguez SP15-DAY-IL
Robert Stephenson RP60-DAY-IL
+2 more
AI Intelligence Analysis
Edge Analysis
Moneyline
LAA 70.4%
+0.8 pts
Run Line
+1.5
+0.8 pts
Total
9.0
+0.9 pts
More Projections Today
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. Full methodology →