MLB Baseball

ARI vs WSH Prediction

July 27, 2026

10,000 Monte Carlo simulations

ARI vs WSH prediction for July 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects WSH 5.7 - ARI 5.0. WSH is favored with a 54.9% win probability. The run line is 1.5 and the total is 10.0. Model projects 10.7 total runs.

WSH
5.7
Projected Score
VS O/U 10.0
ARI
5.0
Projected Score
Win Probability
54.9%
45.1%
WSHARI
+1.5
Run Line (WSH)
10.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 55.5% (2,930 games)

Projected Runs Range 10th – 90th percentile

ARI
357
WSH
468

Starting Pitcher Matchup

Kohl Drake L
ARI
FF48% · 91
CU19% · 78
CH16% · 82
usagewhiffbar labels show usage · mph
FF48%91 mph19% whiff
CU19%78 mph50% whiff
CH16%82 mph57% whiff
Miles Mikolas R
WSH
FF25% · 93
SI24% · 93
SL22% · 88
usagewhiffbar labels show usage · mph
FF25%93 mph12% whiff
SI24%93 mph7% whiff
SL22%88 mph17% whiff

Weather Impact

Nationals Park
84°F4 mph wind
HR: 1.039 Total: 1.020
thin air

Bullpen Comparison

ARI
3.28ERA
3.68FIP
8.28K/9
3.10BB/9
1.10WHIP
WSH
4.62ERA
4.93FIP
7.77K/9
4.06BB/9
1.38WHIP

Betting Edges

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Edge Analysis
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First 5 Innings & NRFI

ARI F5
2.5 runs
33.2% win
WSH F5
3.6 runs
54.7% win
F5 Total
6.1
NRFI
48.7%
YRFI
51.3%
Avg 1st Inn Runs
1.18

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
WSH8 injured
Brad Lord RP15-DAY-IL
Trevor Williams SP60-DAY-IL
Jake Irvin SP60-DAY-IL
PJ Poulin RP15-DAY-IL
Richard Lovelady RP60-DAY-IL
Drew Millas C10-DAY-IL
+2 more

Edge Analysis

Moneyline
WSH 54.9%
-19.7 pts
Run Line
+1.5
-19.7 pts
Total
10.0
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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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