MLB Baseball

CIN vs COL Prediction

July 19, 2026

10,000 Monte Carlo simulations

CIN vs COL prediction for July 19, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects COL 8.6 - CIN 8.8. COL is favored with a 50.3% win probability. The run line is 1.5 and the total is 11.0. Model projects 17.4 total runs.

COL
8.6
Projected Score
VS O/U 11.0
CIN
8.8
Projected Score
Win Probability
50.3%
49.7%
COLCIN
+1.5
Run Line (COL)
11.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 48.7% (2,879 games)

Projected Runs Range 10th – 90th percentile

CIN
7911
COL
7911
FINALCOL 6 — CIN 9
Projected
COL 8.6 — CIN 8.8
Actual
COL 6 — CIN 9

Starting Pitcher Matchup

Hunter Greene R
CIN
FF54%100 mph19% whiff
SL35%90 mph45% whiff
FS10%88 mph30% whiff
Ryan Feltner R
COL
FF26%95 mph11% whiff
SL26%89 mph28% whiff
CH15%85 mph46% whiff

Weather Impact

Coors Field
96°F4 mph wind
HR: 1.126 Total: 1.062
thin air

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 11.0
-50.5% EV
-105
TOTAL OVER 11.0
+39.5% EV
-115
F5 OVER 5.5
+32.9% EV
-132
F5_ML AWAY
-19.2% EV
-182
RUN_LINE HOME +1.5
-19.2% EV
-111
F5_ML HOME
+15.8% EV
+142

First 5 Innings & NRFI

CIN F5
4.9 runs
44.8% win
COL F5
5.0 runs
46.6% win
F5 Total
10.0
NRFI
29.9%
YRFI
70.1%
Avg 1st Inn Runs
2.02

HR Spotlight

Avg HRs
4.8
Over 0.5 HR
99%
Over 1.5 HR
95%
No HR
1%
Elly De La Cruz CIN30.0%
ISO: 0.182 | Barrel: 10.2% | vs Ryan Feltner | Park: 1.18x Platoon: 1.12x
Mickey Moniak COL30.0%
ISO: 0.353 | Barrel: 13.8% | vs Hunter Greene | Park: 1.18x Platoon: 1.12x
Hunter Goodman COL30.0%
ISO: 0.297 | Barrel: 12.8% | vs Hunter Greene | Park: 1.18x

Pitcher Strikeout Projections

Hunter Greene
0.0 K projected
CIN | K/9: 0.0
Ryan Feltner
0.0 K projected
COL | K/9: 0.0

Injury Report

CIN6 injured
Blake Dunn CF10-DAY-IL
Tony Santillan RP15-DAY-IL
Graham Ashcraft RP60-DAY-IL
Matt McLain 2B10-DAY-IL
Nick Lodolo SP15-DAY-IL
Brandon Williamson SP60-DAY-IL
COL8 injured
Jeff Criswell RP15-DAY-IL
Seth Halvorsen RP15-DAY-IL
Brenton Doyle CF10-DAY-IL
Jose Quintana SP60-DAY-IL
Blas Castano RP15-DAY-IL
Jaden Hill RP15-DAY-IL
+2 more

AI Intelligence Analysis

NEUTRAL -2
Game completed (CIN won 9-6). Model 74.6% OVER 11.0 at +39.5% edge was overconfident on exact outcome (+0.1% win) but wrong on direction and magnitude. Expected: 17.37 runs; Actual: 15 runs total. Model's OVER at 11.0 hit (15 > 11) but the +39.5% edge (74.6% prob) represents catastrophic overconfidence in RED zone. Market at 62.0% implied prob was sharper. Coors Field (1.18 park factor), 95.8F + thin air create genuine over environment, but model's 74.6% assumes runaway scoring. Ryan Feltner (B-, 4.91 ERA, weaker stuff) vs Hunter Greene (B+, 7.53 ERA but elite 31.9% K rate) — Greene's elite strikeout stuff suppressed runs vs market expectation of high-scoring slugfest.

Key Factors

  • Coors Field (COL): 1.18 park factor + 1.062 weather multiplier = 18.2% run inflation over neutral park. Theoretically massive.
  • Hunter Greene (CIN away): B+, 31.9% K-rate (elite), 6.9% BB — elite strikeout stuff suppresses contact/runs despite Coors
  • Ryan Feltner (COL home): B-, 17.5% K-rate, 8.7% BB — weak strikeout stuff but home field advantage
  • Actual 15 runs (9-6) shows 3-4 run suppression from model's 17.37 projection, mainly due to Greene's strikeouts

Risk Factors

  • Game complete, not actionable
  • Model's +39.5% edge on OVER in RED zone exemplifies worst historical accuracy (38-42% WR for >70% prob totals)
GAME FINALOVER WON BUT OVERCONFIDENTRED ZONE TOTALCOORS PARK FACTORELITE PITCHER STRIKEOUTS SUPPRESSED

Edge Analysis

Moneyline
COL 50.3%
-19.2 pts
Run Line
+1.5
-19.2 pts
Total
11.0
+39.5 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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