MIL vs MIN prediction for May 15, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects MIN 4.1 - MIL 4.8. MIL is favored with a 55.6% win probability. The run line is 1.5 and the total is 8.5. Model projects 8.9 total runs.
MIN
4.1
Projected Score
VS
O/U 8.5
MIL
4.8
Projected Score
Win Probability
MINMIL
+1.5
Run Line (MIN)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 52.4% (2,085 games)
Projected Runs Range 10th – 90th percentile
MIL
357
MIN
246
Projected
MIN 4.1 — MIL 4.8
Actual
MIN 2 — MIL 3
Starting Pitcher Matchup
Coleman Crow R
MIL
FC30%87 mph0% whiff
CU23%75 mph12% whiff
FF21%91 mph0% whiff
Joe Ryan R
MIN
FF42%93 mph21% whiff
SI14%92 mph11% whiff
KC11%78 mph28% whiff
Weather Impact
Target Field
86°F12 mph wind
HR: 0.995 Total: 0.993
thin air, 11mph in
Bullpen Comparison
MIL
3.49ERA
3.16FIP
9.73K/9
4.20BB/9
1.32WHIP
MIN
5.34ERA
4.56FIP
7.45K/9
4.51BB/9
1.54WHIP
Betting Edges
RUN_LINE HOME +1.5
-42.4% EV
-175
F5_ML HOME
-19.1% EV
-128
ML HOME
-12.4% EV
-110
F5_ML AWAY
+10.2% EV
+102
TOTAL OVER 8.5
-7.0% EV
-120
ML AWAY
+5.0% EV
-106
First 5 Innings & NRFI
MIL F5
2.6 runs
47.9% win
MIN F5
2.1 runs
35.9% win
F5 Total
4.8
NRFI
54.3%
YRFI
45.7%
Avg 1st Inn Runs
0.92
HR Spotlight
Avg HRs
2.9
Over 0.5 HR
94%
Over 1.5 HR
77%
No HR
6%
Brice Turang MIL30.0%
ISO: 0.275 | Barrel: 10.6% | vs Joe Ryan | Park: 0.99x Platoon: 1.12x
Jake Bauers MIL30.0%
ISO: 0.219 | Barrel: 10.2% | vs Joe Ryan | Park: 0.99x Platoon: 1.12x
Ryan Jeffers MIN30.0%
ISO: 0.288 | Barrel: 13.7% | vs Coleman Crow | Park: 0.99x
Pitcher Strikeout Projections
Coleman Crow
0.0 K projected
MIL | K/9: 0.0
Joe Ryan
0.0 K projected
MIN | K/9: 0.0
Injury Report
MIL8 injured
Brandon Woodruff SP15-DAY-IL
Christian Yelich DHDAY-TO-DAY
Jacob Misiorowski SPDAY-TO-DAY
Akil Baddoo LF60-DAY-IL
Rob Zastryzny RP60-DAY-IL
Jared Koenig RP15-DAY-IL
+2 more
MIN8 injured
Taj Bradley SP15-DAY-IL
Trevor Larnach LFDAY-TO-DAY
Byron Buxton CFDAY-TO-DAY
David Festa SP60-DAY-IL
Pablo Lopez SP60-DAY-IL
Cody Laweryson RP15-DAY-IL
+2 more
AI Intelligence Analysis
LEAN +1YELLOW ZONE44.8% WR (n=88)
Away favorite MIL has 5.0% ML edge (54.1% model vs 51.5% market) in GREEN zone for MLs. F5_ML for MIL even stronger at 10.2% edge (54.6% model). However, home team MIN is in TERRIBLE form with Coleman Crow (3.65 ERA, D-grade stuff, only 2.6 K mean) as starter — this is not a quality arm. MIL bullpen excellent (3.49 ERA, quality 1.289), MIN bullpen weak (5.34 ERA, quality 0.843). Market undervalues MIL slightly (51.5%) vs model (54.1%). Lean on away favorite MIL ML with light-to-moderate confidence. F5_ML is stronger play.
Key Factors
- Away favorite with edge: MIL -106 at 51.5% (market) vs 54.1% (model) = 5.0% edge. Away favorite is historically weak (RED zone 45.5% WR) BUT this specific game has pitcher context favoring MIL.
- SP mismatch favors away: Coleman Crow (D-grade stuff, only 2.6 K mean) is poor arm despite good ERA and command. Joe Ryan (3.70 ERA, B-) is better relative. MIL advantage.
- Bullpen gap large: MIL (3.49 ERA, 1.289 quality) >> MIN (5.34 ERA, 0.843 quality). Bullpen advantage to away team is rare positive signal.
- F5_ML stronger (10.2% edge, 54.6% model): Early-game advantage to MIL more pronounced. First 5 innings is cleaner play.
- Weather hot (85.8°F) but wind suppression (11mph in) = net neutral. Park neutral 0.993x. No weather tail.
Risk Factors
- Away favorite in YELLOW zone (44.8% WR): We historically lose money on away MLs. Zone suggests regression risk.
- Coleman Crow ERA misleading: 3.65 ERA but D-grade stuff and only 2.6 K mean. ERA overvalues his performance. Batters will make contact.
- MIN home field: Despite weak bullpen, home advantage might help. Public might back MIN as underdog.
AWAY FAVORITEYELLOW ZONESP QUALITY EDGEF5 STRONGERBULLPEN GAP
Edge Analysis
Moneyline
MIL 55.6%
-42.4 pts
Run Line
+1.5
-42.4 pts
Total
8.5
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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. Full methodology →