MLB Baseball

MIL vs OAK Prediction

June 8, 2026

10,000 Monte Carlo simulations

MIL vs OAK prediction for June 8, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects OAK 4.4 - MIL 5.2. MIL is favored with a 54.2% win probability. The run line is 1.5 and the total is 11.0. Model projects 9.6 total runs.

OAK
4.4
Projected Score
VS O/U 11.0
MIL
5.2
Projected Score
Win Probability
45.8%
54.2%
OAKMIL
+1.5
Run Line (OAK)
11.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 56.5% (2,222 games)

Projected Runs Range 10th – 90th percentile

MIL
357
OAK
246
FINALOAK 14 — MIL 15
Projected
OAK 4.4 — MIL 5.2
Actual
OAK 14 — MIL 15

Starting Pitcher Matchup

Kyle Harrison L
MIL
FF59%95 mph29% whiff
SV28%82 mph29% whiff
CH11%86 mph21% whiff
Jeffrey Springs L
OAK
FF43%91 mph12% whiff
SL25%84 mph22% whiff
CH23%80 mph40% whiff

Weather Impact

Oakland Coliseum
60°F10 mph wind
HR: 0.971 Total: 0.982
7mph in

Bullpen Comparison

MIL
3.68ERA
3.41FIP
9.03K/9
3.97BB/9
1.32WHIP
OAK
4.49ERA
3.73FIP
9.62K/9
4.26BB/9
1.41WHIP

Betting Edges

RUN_LINE HOME +1.5
-35.1% EV
-127
TOTAL OVER 11.0
-32.9% EV
-105
RUN_LINE AWAY -1.5
-12.4% EV
+105
TOTAL UNDER 11.0
+11.0% EV
-115
F5 UNDER 5.5
+9.0% EV
-106
ML AWAY
-7.3% EV
-145

First 5 Innings & NRFI

MIL F5
2.9 runs
48.2% win
OAK F5
2.3 runs
36.4% win
F5 Total
5.2
NRFI
52.6%
YRFI
47.4%
Avg 1st Inn Runs
1.01

HR Spotlight

Avg HRs
2.3
Over 0.5 HR
90%
Over 1.5 HR
66%
No HR
10%

Pitcher Strikeout Projections

Kyle Harrison
0.0 K projected
MIL | K/9: 0.0
Jeffrey Springs
0.0 K projected
OAK | K/9: 0.0

Injury Report

MIL8 injured
Brian Fitzpatrick RP15-DAY-IL
DL Hall RP15-DAY-IL
Brandon Woodruff SP15-DAY-IL
Grant Anderson RPDAY-TO-DAY
Logan Henderson SP15-DAY-IL
Rob Zastryzny RP15-DAY-IL
+2 more
OAK7 injured
Jacob Wilson SS10-DAY-IL
Aaron Civale SP15-DAY-IL
Luis Severino SP15-DAY-IL
Brooks Kriske RP60-DAY-IL
Leo De Vries SSDAY-TO-DAY
Denzel Clarke CF60-DAY-IL
+1 more

AI Intelligence Analysis

LEAN +1YELLOW ZONE50.2% WR (n=316)
TOTAL UNDER edge is strongest on slate at 11.0% (model 59.3% vs market 34.4%). Kyle Harrison (1.70 ERA, 31.5% K, elite young LHP, B+ grade) is ACE-tier, dominating Jeffrey Springs (4.72 ERA, 21.1% K, B- mediocre LHP). 3.02 run ERA gap is second-largest mismatch of day. Cold weather suppresses: 59.8F, 10.5 mph wind blowing IN (-7.0), run-suppressing conditions. Market total 11.0 is high for ace-vs-mediocre matchup in cold weather. Model projects 9.6 total (-1.4 edge UNDER). Zone YELLOW (50.2% WR) but pitcher mismatch + weather support the under. MIL bullpen good (3.68 ERA), OAK below-average (4.49 ERA). LEAN UNDER with caution due to YELLOW zone.

Key Factors

  • Kyle Harrison ACE tier: 1.70 ERA, 31.5% K rate, 6.9% BB (elite), B+ grade, dominant arsenal (FF 59.3%, SV 28.1%, CH 10.6%)
  • Jeffrey Springs mediocre: 4.72 ERA, 21.1% K, B- grade — 3.02 ERA gap second-largest mismatch on slate
  • Weather cold and wind-in: 59.8F (second coldest), 10.5 mph wind blowing IN (-7.0 mph), suppresses runs by 0.5-1.0
  • Model 11.0% UNDER edge strongest of day at 59.3% model prob vs 34.4% market under prob

Risk Factors

  • Zone YELLOW (50.2% WR) not GREEN — historical data suggests 50% WR even for favorable totals conditions at high edges
  • 11.0% edge is large; calibration data shows edges >10% have worse historical outcomes than 5-10% edge bucket
  • MIL bullpen good (3.68 ERA) but OAK below-average (4.49) means late-game volatility on under
PITCHER MISMATCHWEATHER IMPACTLEANTOTALS VALUE

Edge Analysis

Moneyline
MIL 54.2%
-35.1 pts
Run Line
+1.5
-35.1 pts
Total
11.0
+11.0 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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