MLB Baseball

MIA vs OAK Prediction

July 3, 2026

10,000 Monte Carlo simulations

MIA vs OAK prediction for July 3, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects OAK 3.6 - MIA 3.6. OAK is favored with a 51.2% win probability. The run line is -1.5 and the total is 10.5. Model projects 7.2 total runs.

OAK
3.6
Projected Score
VS O/U 10.5
MIA
3.6
Projected Score
Win Probability
51.2%
48.8%
OAKMIA
-1.5
Run Line (OAK)
10.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 49.4% (2,758 games)

Projected Runs Range 10th – 90th percentile

MIA
246
OAK
246
FINALOAK 5 — MIA 12
Projected
OAK 3.6 — MIA 3.6
Actual
OAK 5 — MIA 12

Starting Pitcher Matchup

Tyler Phillips R
MIA
SI25%96 mph3% whiff
ST24%84 mph33% whiff
FS23%88 mph31% whiff
Jack Perkins R
OAK
FF36%96 mph14% whiff
ST30%86 mph36% whiff
CH15%90 mph40% whiff

Weather Impact

Oakland Coliseum
65°F9 mph wind
HR: 0.991 Total: 0.994
neutral

Bullpen Comparison

MIA
3.85ERA
3.56FIP
9.97K/9
4.48BB/9
1.21WHIP
OAK
4.87ERA
3.91FIP
9.81K/9
4.20BB/9
1.44WHIP

Betting Edges

TOTAL OVER 10.5
-46.9% EV
-118
TOTAL UNDER 10.5
+39.8% EV
-104
RUN_LINE AWAY +1.5
-32.6% EV
-175
F5 UNDER 5.5
+25.9% EV
-102
NRFI NRFI
+21.8% EV
+126
ML HOME
-9.1% EV
-143

First 5 Innings & NRFI

MIA F5
1.7 runs
37.7% win
OAK F5
2.0 runs
44.5% win
F5 Total
3.7
NRFI
60.9%
YRFI
39.1%
Avg 1st Inn Runs
0.78

HR Spotlight

Avg HRs
2.4
Over 0.5 HR
91%
Over 1.5 HR
68%
No HR
9%

Pitcher Strikeout Projections

Tyler Phillips
0.0 K projected
MIA | K/9: 0.0
Jack Perkins
0.0 K projected
OAK | K/9: 0.0

Injury Report

MIA7 injured
Anthony Bender RP15-DAY-IL
Janson Junk SP15-DAY-IL
Josh Ekness RP60-DAY-IL
Andrew Nardi RP60-DAY-IL
Robby Snelling SP60-DAY-IL
Ronny Henriquez RP60-DAY-IL
+1 more
OAK8 injured
Brent Rooker DH10-DAY-IL
Tyler Soderstrom LF10-DAY-IL
Jacob Wilson SS10-DAY-IL
Zack Gelof 3B10-DAY-IL
Denzel Clarke CF60-DAY-IL
Luis Severino SP60-DAY-IL
+2 more

Edge Analysis

Moneyline
OAK 51.2%
-6.9 pts
Run Line
-1.5
-6.9 pts
Total
10.5
+39.8 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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