CIN vs COL prediction for July 17, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects COL 7.7 - CIN 8.8. CIN is favored with a 53.1% win probability. The run line is 1.5 and the total is 12.0. Model projects 16.6 total runs.
COL
7.7
Projected Score
VS
O/U 12.0
CIN
8.8
Projected Score
Win Probability
COLCIN
+1.5
Run Line (COL)
12.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 54.3% (2,790 games)
Projected Runs Range 10th – 90th percentile
CIN
7911
COL
6810
Starting Pitcher Matchup
Brady Singer R
CIN
SI48%91 mph13% whiff
SL30%82 mph32% whiff
ST12%82 mph39% whiff
Gabriel Hughes R
COL
FF58%93 mph23% whiff
ST12%85 mph10% whiff
SL12%86 mph22% whiff
Weather Impact
Coors Field
93°F6 mph wind
HR: 1.171 Total: 1.087
thin air, 6mph out
Bullpen Comparison
CIN
4.59ERA
5.23FIP
8.86K/9
5.87BB/9
1.53WHIP
COL
5.45ERA
4.65FIP
8.19K/9
4.48BB/9
1.58WHIP
Betting Edges
TOTAL UNDER 12.0
-40.0% EV
-114
RUN_LINE HOME +1.5
-36.7% EV
-179
TOTAL OVER 12.0
+32.1% EV
-106
F5 OVER 6.5
+27.7% EV
-110
RUN_LINE AWAY -1.5
+13.9% EV
+146
F5_ML HOME
-13.0% EV
-120
First 5 Innings & NRFI
CIN F5
5.0 runs
48.9% win
COL F5
4.6 runs
41.8% win
F5 Total
9.6
NRFI
35.0%
YRFI
65.0%
Avg 1st Inn Runs
1.84
HR Spotlight
Avg HRs
4.5
Over 0.5 HR
98%
Over 1.5 HR
92%
No HR
2%
Pitcher Strikeout Projections
Brady Singer
0.0 K projected
CIN | K/9: 0.0
Gabriel Hughes
0.0 K projected
COL | K/9: 0.0
Injury Report
CIN7 injured
Dane Myers CF10-DAY-IL
Nick Lodolo SP15-DAY-IL
Matt McLain 2B10-DAY-IL
Blake Dunn CF10-DAY-IL
Graham Ashcraft RP60-DAY-IL
Brandon Williamson SP60-DAY-IL
+1 more
COL8 injured
Tomoyuki Sugano SP15-DAY-IL
Brenton Doyle CF10-DAY-IL
Jose Quintana SP60-DAY-IL
Seth Halvorsen RP15-DAY-IL
Blas Castano RP15-DAY-IL
Jaden Hill RP15-DAY-IL
+2 more
AI Intelligence Analysis
Edge Analysis
Moneyline
CIN 53.1%
-36.7 pts
Run Line
+1.5
-36.7 pts
Total
12.0
+32.1 pts
More Projections Today
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 →