MLB Baseball

ARI vs PIT Prediction

July 27, 2026

10,000 Monte Carlo simulations

ARI vs PIT prediction for July 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects PIT 4.8 - ARI 3.6. PIT is favored with a 57.7% win probability. The run line is -1.5 and the total is 9.5. Model projects 8.4 total runs.

PIT
4.8
Projected Score
VS O/U 9.5
ARI
3.6
Projected Score
Win Probability
57.7%
42.3%
PITARI
-1.5
Run Line (PIT)
9.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 57.5% (2,978 games)

Projected Runs Range 10th – 90th percentile

ARI
246
PIT
357

Starting Pitcher Matchup

Merrill Kelly R
ARI
FF27% · 92
CH26% · 89
FC14% · 91
usagewhiffbar labels show usage · mph
FF27%92 mph11% whiff
CH26%89 mph29% whiff
FC14%91 mph12% whiff
Mitch Keller R
PIT
FF32% · 94
SI18% · 92
ST16% · 82
usagewhiffbar labels show usage · mph
FF32%94 mph14% whiff
SI18%92 mph12% whiff
ST16%82 mph24% whiff

Weather Impact

PNC Park
73°F9 mph wind
HR: 0.994 Total: 0.994
thin air, 9mph in

Bullpen Comparison

ARI
3.28ERA
3.68FIP
8.28K/9
3.10BB/9
1.10WHIP
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

ARI F5
1.9 runs
27.9% win
PIT F5
3.2 runs
58.6% win
F5 Total
5.0
NRFI
51.2%
YRFI
48.8%
Avg 1st Inn Runs
1.08

HR Spotlight

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Home Run Analysis
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Injury Report

ARI8 injured
Zac Gallen SP15-DAY-IL
Justin Martinez RP60-DAY-IL
Michael Soroka SP15-DAY-IL
Jordan Lawlar LF10-DAY-IL
Drey Jameson RP15-DAY-IL
Lourdes Gurriel Jr. LF10-DAY-IL
+2 more
PIT6 injured
Rafael Flores Jr. C7-DAY IL
Chris Devenski RP60-DAY-IL
Spencer Horwitz 1B10-DAY-IL
Oneil Cruz CF60-DAY-IL
Konnor Griffin SS60-DAY-IL
Evan Sisk RP15-DAY-IL

Model Edge & Sizing

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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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