MLB Baseball

ARI vs LAD Prediction

July 10, 2026

10,000 Monte Carlo simulations

FINAL: LAD 3 — ARI 9. Our Monte Carlo simulation projected LAD 4.7 - ARI 3.0 (LAD at 60.9% win probability). The run line is -1.5 and the total is 9.5. Model projects 7.7 total runs.

LAD
4.7
Projected Score
VS O/U 9.5
ARI
3.0
Projected Score
Win Probability
60.9%
39.1%
LADARI
-1.5
Run Line (LAD)
9.5
Total Line
10,000
Simulations
ARI W5LAD L5
Calibrated accuracy at this confidence: 60.9% (2,790 games)

Projected Runs Range 10th – 90th percentile

ARI
135
LAD
357
FINALLAD 3 — ARI 9
Projected
LAD 4.7 — ARI 3.0
Actual
LAD 3 — ARI 9

Pick Results

ARI @ LAD NRFInrfiLOSS-1.00u

Starting Pitcher Matchup

Brandon Pfaadt R
ARI
FF23%93 mph11% whiff
SI21%93 mph9% whiff
CU19%82 mph36% whiff
Yoshinobu Yamamoto R
LAD
FS27%92 mph31% whiff
FF27%96 mph24% whiff
CU14%77 mph24% whiff

Weather Impact

Dodger Stadium
75°F5 mph wind
HR: 1.009 Total: 1.002
thin air, 5mph in

Bullpen Comparison

ARI
3.28ERA
3.68FIP
8.28K/9
3.10BB/9
1.10WHIP
LAD
3.58ERA
3.45FIP
10.00K/9
3.64BB/9
1.19WHIP

Betting Edges

RUN_LINE AWAY +1.5
-51.1% EV
-127
TOTAL OVER 9.5
-31.5% EV
+104
F5_ML AWAY
-25.4% EV
+154
TOTAL UNDER 9.5
+18.2% EV
-128
RUN_LINE HOME -1.5
+9.8% EV
+105
ML HOME
-6.7% EV
-204

First 5 Innings & NRFI

ARI F5
1.4 runs
23.0% win
LAD F5
3.0 runs
62.3% win
F5 Total
4.4
NRFI
56.4%
YRFI
43.6%
Avg 1st Inn Runs
0.91

HR Spotlight

Avg HRs
2.2
Over 0.5 HR
89%
Over 1.5 HR
63%
No HR
11%

Pitcher Strikeout Projections

Brandon Pfaadt
0.0 K projected
ARI | K/9: 0.0
Yoshinobu Yamamoto
0.0 K projected
LAD | K/9: 0.0

Injury Report

ARI8 injured
Jordan Lawlar LF10-DAY-IL
Corbin Burnes SP60-DAY-IL
Michael Soroka SP15-DAY-IL
Ryne Nelson SP60-DAY-IL
A.J. Puk RP60-DAY-IL
Cristian Mena RP60-DAY-IL
+2 more
LAD8 injured
Enrique Hernandez 1B10-DAY-IL
Blake Snell SP60-DAY-IL
Landon Knack SP60-DAY-IL
Blake Treinen RP15-DAY-IL
Edwin Diaz RP60-DAY-IL
Will Smith C10-DAY-IL
+2 more

Edge Analysis

Moneyline
LAD 60.9%
+9.8 pts
Run Line
-1.5
+9.8 pts
Total
9.5
+18.2 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 →

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