MLB Baseball

CHC vs PIT Prediction

July 27, 2026

10,000 Monte Carlo simulations

CHC vs PIT prediction for July 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects PIT 5.2 - CHC 3.9. PIT is favored with a 56.9% win probability. The run line is -1.5 and the total is 9.0. Model projects 9.1 total runs.

PIT
5.2
Projected Score
VS O/U 9.0
CHC
3.9
Projected Score
Win Probability
56.9%
43.1%
PITCHC
-1.5
Run Line (PIT)
9.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 56.5% (2,930 games)

Projected Runs Range 10th – 90th percentile

CHC
246
PIT
357

Starting Pitcher Matchup

Jameson Taillon R
CHC
FF28% · 92
FC19% · 86
ST16% · 80
usagewhiffbar labels show usage · mph
FF28%92 mph18% whiff
FC19%86 mph24% whiff
ST16%80 mph30% whiff
Braxton Ashcraft R
PIT
FF32% · 97
CU26% · 85
SL23% · 92
usagewhiffbar labels show usage · mph
FF32%97 mph14% whiff
CU26%85 mph40% whiff
SL23%92 mph31% whiff

Weather Impact

PNC Park
83°F5 mph wind
HR: 1.067 Total: 1.035
thin air

Bullpen Comparison

CHC
4.04ERA
5.13FIP
8.17K/9
4.04BB/9
1.34WHIP
PIT
4.50ERA
4.23FIP
9.39K/9
4.70BB/9
1.41WHIP

Betting Edges

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Edge Analysis
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First 5 Innings & NRFI

CHC F5
1.9 runs
27.0% win
PIT F5
3.4 runs
59.9% win
F5 Total
5.3
NRFI
51.6%
YRFI
48.4%
Avg 1st Inn Runs
1.07

HR Spotlight

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Home Run Analysis
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Injury Report

CHC8 injured
Trent Thornton RPDAY-TO-DAY
Phil Maton RP15-DAY-IL
Shelby Miller RP60-DAY-IL
Hunter Harvey RP60-DAY-IL
Ben Brown RP15-DAY-IL
Ethan Roberts RP15-DAY-IL
+2 more
PIT7 injured
Rafael Flores Jr. C7-DAY IL
Endy Rodriguez C10-DAY-IL
Chris Devenski RP60-DAY-IL
Spencer Horwitz 1B10-DAY-IL
Oneil Cruz CF60-DAY-IL
Konnor Griffin SS60-DAY-IL
+1 more

Edge Analysis

Moneyline
PIT 56.9%
+15.7 pts
Run Line
-1.5
+15.7 pts
Total
9.0
+2.2 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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