PIT vs CIN prediction for July 30, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects CIN 4.6 - PIT 6.4. PIT is favored with a 57.9% win probability. The run line is 1.5 and the total is 9.5. Model projects 11.0 total runs.
CIN
4.6
Projected Score
VS
O/U 9.5
PIT
6.4
Projected Score
Win Probability
CINPIT
+1.5
Run Line (CIN)
9.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 57.5% (2,978 games)
Projected Runs Range 10th – 90th percentile
PIT
468
CIN
357
Starting Pitcher Matchup
Yohan Ramírez R
PIT
usagewhiffbar labels show usage · mph
ST34%84 mph35% whiff
SI24%96 mph12% whiff
FF24%97 mph23% whiff
Rhett Lowder R
CIN
usagewhiffbar labels show usage · mph
SI30%93 mph6% whiff
SL27%85 mph34% whiff
FF22%93 mph12% whiff
Weather Impact
Great American Ball Park
87°F5 mph wind
HR: 1.054 Total: 1.028
thin air
Bullpen Comparison
PIT
4.43ERA
4.56FIP
9.09K/9
4.27BB/9
1.40WHIP
CIN
4.25ERA
5.05FIP
8.31K/9
4.96BB/9
1.39WHIP
Betting Edges
First 5 Innings & NRFI
PIT F5
3.4 runs
55.1% win
CIN F5
2.3 runs
32.2% win
F5 Total
5.8
NRFI
53.5%
YRFI
46.5%
Avg 1st Inn Runs
1.04
HR Spotlight
Injury Report
PIT6 injured
Evan Sisk RP15-DAY-IL
Oneil Cruz CF60-DAY-IL
Spencer Horwitz 1B10-DAY-IL
Rafael Flores Jr. C7-DAY IL
Chris Devenski RP60-DAY-IL
Konnor Griffin SS60-DAY-IL
CIN7 injured
Nick Lodolo SP15-DAY-IL
Matt McLain 2B10-DAY-IL
Spencer Steer 1B10-DAY-IL
Tony Santillan RP15-DAY-IL
Blake Dunn CF10-DAY-IL
Brandon Williamson SP60-DAY-IL
+1 more
Model Edge & Sizing
Edge Analysis
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 →