LAD vs NYY prediction for July 17, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects NYY 6.8 - LAD 6.2. NYY is favored with a 53.3% win probability. The run line is 1.5 and the total is 9.0. Model projects 13.0 total runs.
NYY
6.8
Projected Score
VS
O/U 9.0
LAD
6.2
Projected Score
Win Probability
NYYLAD
+1.5
Run Line (NYY)
9.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 54.3% (2,790 games)
Projected Runs Range 10th – 90th percentile
LAD
468
NYY
579
Starting Pitcher Matchup
Roki Sasaki R
LAD
FF43%98 mph15% whiff
FS24%90 mph32% whiff
SL21%87 mph37% whiff
Gerrit Cole R
NYY
FF44%97 mph16% whiff
SL18%89 mph27% whiff
CH14%86 mph14% whiff
Weather Impact
Yankee Stadium
89°F7 mph wind
HR: 1.010 Total: 1.003
thin air
Bullpen Comparison
LAD
3.58ERA
3.45FIP
10.00K/9
3.64BB/9
1.19WHIP
NYY
3.36ERA
3.71FIP
8.80K/9
3.56BB/9
1.27WHIP
Betting Edges
TOTAL UNDER 9.0
-36.5% EV
+100
F5 OVER 5.5
+34.1% EV
+112
RUN_LINE HOME +1.5
-25.5% EV
-179
TOTAL OVER 9.0
+24.2% EV
-122
F5_ML AWAY
-15.6% EV
-108
RUN_LINE AWAY -1.5
-12.7% EV
+146
First 5 Innings & NRFI
LAD F5
3.5 runs
37.8% win
NYY F5
4.3 runs
52.3% win
F5 Total
7.9
NRFI
40.9%
YRFI
59.1%
Avg 1st Inn Runs
1.53
HR Spotlight
Avg HRs
3.0
Over 0.5 HR
95%
Over 1.5 HR
79%
No HR
5%
Pitcher Strikeout Projections
Roki Sasaki
0.0 K projected
LAD | K/9: 0.0
Gerrit Cole
0.0 K projected
NYY | K/9: 0.0
Injury Report
LAD8 injured
Tyler Glasnow SP60-DAY-IL
Will Smith C10-DAY-IL
Edwin Diaz RP60-DAY-IL
Blake Snell SP60-DAY-IL
Enrique Hernandez 1B10-DAY-IL
Blake Treinen RP15-DAY-IL
+2 more
NYY5 injured
Carlos Rodon SP15-DAY-IL
Max Fried SP15-DAY-IL
Clarke Schmidt SP60-DAY-IL
Giancarlo Stanton DH10-DAY-IL
Aaron Judge RF10-DAY-IL
AI Intelligence Analysis
Edge Analysis
Moneyline
NYY 53.3%
-25.5 pts
Run Line
+1.5
-25.5 pts
Total
9.0
+24.2 pts
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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 →