MLB Baseball

COL vs MIL Prediction

July 26, 2026

10,000 Monte Carlo simulations

COL vs MIL prediction for July 26, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects MIL 4.3 - COL 3.6. MIL is favored with a 55.2% win probability. The run line is -1.5 and the total is 8.0. Model projects 7.9 total runs.

MIL
4.3
Projected Score
VS O/U 8.0
COL
3.6
Projected Score
Win Probability
55.2%
44.8%
MILCOL
-1.5
Run Line (MIL)
8.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 56.5% (2,978 games)

Projected Runs Range 10th – 90th percentile

COL
246
MIL
246
FINALMIL 11 — COL 2
Projected
MIL 4.3 — COL 3.6
Actual
MIL 11 — COL 2

Starting Pitcher Matchup

Kyle Freeland L
COL
FF26% · 92
FC22% · 88
KC21% · 82
usagewhiffbar labels show usage · mph
FF26%92 mph11% whiff
FC22%88 mph19% whiff
KC21%82 mph31% whiff
Jacob Misiorowski R
MIL
FF63% · 100
FC14% · 96
SL11% · 92
usagewhiffbar labels show usage · mph
FF63%100 mph37% whiff
FC14%96 mph20% whiff
SL11%92 mph29% whiff

Weather Impact

American Family Field
87°F10 mph windRoof: retractable
HR: 1.004 Total: 0.999
thin air, 8mph in

Bullpen Comparison

COL
5.45ERA
4.65FIP
8.19K/9
4.48BB/9
1.58WHIP
MIL
3.66ERA
3.52FIP
9.38K/9
3.94BB/9
1.32WHIP

Betting Edges

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Edge Analysis
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First 5 Innings & NRFI

COL F5
1.8 runs
30.8% win
MIL F5
2.6 runs
52.6% win
F5 Total
4.4
NRFI
56.9%
YRFI
43.1%
Avg 1st Inn Runs
0.91

HR Spotlight

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Home Run Analysis
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Injury Report

COL8 injured
Brenton Doyle CF10-DAY-IL
Jeff Criswell RP15-DAY-IL
Jose Quintana SP60-DAY-IL
Blas Castano RP15-DAY-IL
Jaden Hill RP15-DAY-IL
Chase Dollander SP60-DAY-IL
+2 more
MIL8 injured
Sal Frelick RF10-DAY-IL
Brandon Lockridge LF60-DAY-IL
Joel Kuhnel RP15-DAY-IL
Kyle Harrison SP15-DAY-IL
DL Hall RP15-DAY-IL
Brandon Woodruff SP60-DAY-IL
+2 more

Model Edge & Sizing

🔒The model's edge against the market, and the stake it sizes for this matchup, are premium.Unlock

Edge Analysis

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Edge Analysis
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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. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →

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