MLB Baseball

MIL vs ARI Prediction

July 3, 2026

10,000 Monte Carlo simulations

MIL vs ARI prediction for July 3, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects ARI 5.2 - MIL 5.6. MIL is favored with a 53.4% win probability. The run line is 1.5 and the total is 8.5. Model projects 10.8 total runs.

ARI
5.2
Projected Score
VS O/U 8.5
MIL
5.6
Projected Score
Win Probability
46.6%
53.4%
ARIMIL
+1.5
Run Line (ARI)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 49.6% (2,758 games)

Projected Runs Range 10th – 90th percentile

MIL
468
ARI
357

Starting Pitcher Matchup

Kyle Harrison L
MIL
FF59%95 mph30% whiff
SV30%82 mph27% whiff
CH10%86 mph23% whiff
Jose Cabrera R
ARI
FC28%90 mph16% whiff
FF25%94 mph10% whiff
ST17%84 mph42% whiff

Weather Impact

Chase Field
105°F9 mph windRoof: retractable
HR: 1.027 Total: 1.011
thin air, 9mph in

Bullpen Comparison

MIL
3.66ERA
3.52FIP
9.38K/9
3.94BB/9
1.32WHIP
ARI
3.28ERA
3.68FIP
8.28K/9
3.10BB/9
1.10WHIP

Betting Edges

RUN_LINE HOME +1.5
-30.8% EV
-137
TOTAL UNDER 8.5
-24.5% EV
-102
F5 OVER 4.5
+18.5% EV
-125
TOTAL OVER 8.5
+13.2% EV
-120
F5_ML AWAY
-10.5% EV
-149
ML AWAY
-7.5% EV
-147

First 5 Innings & NRFI

MIL F5
3.2 runs
46.6% win
ARI F5
3.0 runs
42.3% win
F5 Total
6.3
NRFI
45.5%
YRFI
54.5%
Avg 1st Inn Runs
1.29

HR Spotlight

Avg HRs
3.3
Over 0.5 HR
96%
Over 1.5 HR
83%
No HR
4%

Pitcher Strikeout Projections

Kyle Harrison
0.0 K projected
MIL | K/9: 0.0
Jose Cabrera
0.0 K projected
ARI | K/9: 0.0

Injury Report

MIL8 injured
Rob Zastryzny RP15-DAY-IL
Carlos Rodriguez RP15-DAY-IL
Logan Henderson SP15-DAY-IL
DL Hall RP15-DAY-IL
Coleman Crow SP15-DAY-IL
Brandon Lockridge LF10-DAY-IL
+2 more
ARI8 injured
James McCann C10-DAY-IL
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
+2 more

Edge Analysis

Moneyline
MIL 53.4%
-30.8 pts
Run Line
+1.5
-30.8 pts
Total
8.5
+13.2 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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