CLE vs MIL prediction for June 17, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects MIL 6.2 - CLE 4.7. MIL is favored with a 59.1% win probability. The run line is -1.5 and the total is 7.5. Model projects 10.9 total runs.
MIL
6.2
Projected Score
VS
O/U 7.5
CLE
4.7
Projected Score
Win Probability
MILCLE
-1.5
Run Line (MIL)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 59.7% (2,410 games)
Projected Runs Range 10th – 90th percentile
CLE
357
MIL
468
Projected
MIL 6.2 — CLE 4.7
Actual
MIL 9 — CLE 4
Starting Pitcher Matchup
Gavin Williams R
CLE
ST25%87 mph42% whiff
FF24%97 mph25% whiff
CU22%83 mph27% whiff
Brandon Sproat R
MIL
SI27%96 mph15% whiff
FC25%93 mph20% whiff
FF18%97 mph18% whiff
Weather Impact
American Family Field
60°F13 mph windRoof: retractable
HR: 1.055 Total: 1.029
thin air
Bullpen Comparison
CLE
3.52ERA
3.55FIP
10.51K/9
3.50BB/9
1.23WHIP
MIL
3.66ERA
3.52FIP
9.38K/9
3.94BB/9
1.32WHIP
Betting Edges
RUN_LINE AWAY +1.5
-47.7% EV
-213
TOTAL UNDER 7.5
-35.7% EV
-105
TOTAL OVER 7.5
+25.4% EV
-115
RUN_LINE HOME -1.5
+24.9% EV
+176
F5 OVER 4.5
+24.8% EV
+108
F5_ML AWAY
-22.4% EV
-114
First 5 Innings & NRFI
CLE F5
2.7 runs
33.6% win
MIL F5
3.7 runs
54.2% win
F5 Total
6.4
NRFI
47.3%
YRFI
52.7%
Avg 1st Inn Runs
1.24
HR Spotlight
Avg HRs
2.7
Over 0.5 HR
93%
Over 1.5 HR
74%
No HR
7%
Jake Bauers MIL30.0%
ISO: 0.268 | Barrel: 14.0% | vs Gavin Williams | Platoon: 1.12x
Jackson Chourio MIL30.0%
ISO: 0.241 | Barrel: 14.4% | vs Gavin Williams
Brice Turang MIL30.0%
ISO: 0.240 | Barrel: 9.8% | vs Gavin Williams | Platoon: 1.12x
Pitcher Strikeout Projections
Gavin Williams
0.0 K projected
CLE | K/9: 0.0
Brandon Sproat
0.0 K projected
MIL | K/9: 0.0
Injury Report
CLE6 injured
Chase DeLauter RF10-DAY-IL
Tanner Burns SPDAY-TO-DAY
Jose Ramirez 3B10-DAY-IL
Angel Martinez LF10-DAY-IL
Erik Sabrowski RP15-DAY-IL
Carlos Hernandez RPDAY-TO-DAY
MIL8 injured
Brandon Woodruff SP15-DAY-IL
Quinn Priester SP60-DAY-IL
Coleman Crow SP15-DAY-IL
DL Hall RP15-DAY-IL
Brandon Lockridge LF10-DAY-IL
Jared Koenig RP15-DAY-IL
+2 more
AI Intelligence Analysis
LEAN +1YELLOW ZONE53.2% WR (n=100)
MIL OVER 7.5 at 25.4% edge (model 67.0%, market 33.0%) is HIGH-EDGE territory, but pitcher mismatch story is real. Gavin Williams (B grade, 27.7% K rate, 10.3 K/9) is ace-quality; Brandon Sproat (B- grade, 22.5% K rate, 8.6 K/9) is mid-tier. Weather cold (60.1°F) suppresses runs, but MIL's strong pitching + CLE weak offense (missing Chase DeLauter) make this a lean. Cap at 1.0 units due to HIGH-EDGE TRAP.
Key Factors
- Pitcher mismatch significant: Gavin Williams (B grade, 27.7% K rate, 10.3 K/9, elite stuff 0.594) vs Brandon Sproat (B- grade, 22.5% K rate, 8.6 K/9). 1.7 K/9 gap + grade difference = ~1.5 pt swing to MIL advantage
- CLE lineup devastated: Chase DeLauter (10-day IL ribs — new news 2026-06-17), Jose Ramirez (10-day IL hand), Angel Martinez (10-day IL foot) all out. This is worse than model assumes (model data likely pre-DeLauter IL)
- Model 10.86 total is OVER 7.5 by 3.36 runs; substantial edge signal
- Weather counteracting: 60.1°F (cold) + retractable roof status unclear (if closed, wind neutral; if open, slight suppression). Cold typically suppresses ~0.5-1.0 runs
- Zone: OVER 53.2% WR (n=100, YELLOW); matches expected profitability approximately
Risk Factors
- HIGH-EDGE TRAP (25.4%): 25%+ edge bucket shows only 53.2% WR in zone data — expected 60%+ but underperforming significantly
- Cold weather (60.1°F) and retractable roof closed (if so) could suppress runs to 9-9.5, bringing actual total below 7.5 under
- MIL bullpen fatigue unknown; recent usage data not provided
HIGH EDGE WARNINGPITCHER MISMATCHWEATHER IMPACTTOTALS VALUE
Edge Analysis
Moneyline
MIL 59.1%
+24.9 pts
Run Line
-1.5
+24.9 pts
Total
7.5
+25.4 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 →