SD vs LAD prediction for July 3, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects LAD 4.2 - SD 2.7. LAD is favored with a 68.9% win probability. The run line is -1.5 and the total is 8.0. Model projects 6.9 total runs.
LAD
4.2
Projected Score
VS
O/U 8.0
SD
2.7
Projected Score
Win Probability
LADSD
-1.5
Run Line (LAD)
8.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 66.6% (2,758 games)
Projected Runs Range 10th – 90th percentile
SD
135
LAD
246
Projected
LAD 4.2 — SD 2.7
Actual
LAD 4 — SD 3
Starting Pitcher Matchup
Michael King R
SD
SI29%93 mph13% whiff
CH26%86 mph27% whiff
ST20%82 mph24% whiff
Shohei Ohtani R
LAD
FF45%98 mph25% whiff
ST29%85 mph38% whiff
CU11%75 mph41% whiff
Weather Impact
Dodger Stadium
66°F8 mph wind
HR: 0.985 Total: 0.989
8mph in
Bullpen Comparison
SD
3.15ERA
3.66FIP
8.41K/9
3.44BB/9
1.23WHIP
LAD
3.58ERA
3.45FIP
10.00K/9
3.64BB/9
1.19WHIP
Betting Edges
RUN_LINE AWAY +1.5
-48.1% EV
-118
TOTAL OVER 8.0
-26.9% EV
-108
TOTAL UNDER 8.0
+17.4% EV
-112
F5_ML AWAY
-16.2% EV
+182
ML AWAY
-7.5% EV
+194
NRFI NRFI
+5.1% EV
-115
First 5 Innings & NRFI
SD F5
1.3 runs
24.3% win
LAD F5
2.6 runs
60.4% win
F5 Total
3.9
NRFI
59.4%
YRFI
40.6%
Avg 1st Inn Runs
0.84
HR Spotlight
Avg HRs
1.7
Over 0.5 HR
81%
Over 1.5 HR
50%
No HR
19%
Pitcher Strikeout Projections
Michael King
0.0 K projected
SD | K/9: 0.0
Shohei Ohtani
0.0 K projected
LAD | K/9: 0.0
Injury Report
SD8 injured
Jason Adam RP15-DAY-IL
David Morgan RP15-DAY-IL
Luis Campusano C10-DAY-IL
Nick Pivetta SP60-DAY-IL
Matt Waldron SP15-DAY-IL
Lucas Giolito SP15-DAY-IL
+2 more
LAD8 injured
Will Smith C10-DAY-IL
Tyler Glasnow SP60-DAY-IL
Blake Treinen RP15-DAY-IL
Blake Snell SP60-DAY-IL
Landon Knack SP60-DAY-IL
Edwin Diaz RP60-DAY-IL
+2 more
Edge Analysis
Moneyline
LAD 68.9%
+2.4 pts
Run Line
-1.5
+2.4 pts
Total
8.0
+17.4 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 →