MLB Baseball

WSH vs ATL Prediction

May 22, 2026

10,000 Monte Carlo simulations

WSH vs ATL prediction for May 22, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects ATL 4.1 - WSH 3.8. ATL is favored with a 54.7% win probability. The run line is -1.5 and the total is 8.5. Model projects 7.9 total runs.

ATL
4.1
Projected Score
VS O/U 8.5
WSH
3.8
Projected Score
Win Probability
54.7%
45.3%
ATLWSH
-1.5
Run Line (ATL)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 52.0% (2,236 games)

Projected Runs Range 10th – 90th percentile

WSH
246
ATL
246
FINALATL 5 — WSH 4
Projected
ATL 4.1 — WSH 3.8
Actual
ATL 5 — WSH 4

Starting Pitcher Matchup

Richard Lovelady L
WSH
ST42%82 mph25% whiff
SI28%91 mph21% whiff
FF19%92 mph24% whiff
Bryce Elder R
ATL
SL30%83 mph32% whiff
SI25%92 mph13% whiff
FF24%93 mph17% whiff

Weather Impact

Truist Park
86°F10 mph wind
HR: 1.046 Total: 1.023
thin air

Bullpen Comparison

WSH
4.30ERA
4.65FIP
8.22K/9
3.92BB/9
1.35WHIP
ATL
2.36ERA
2.74FIP
9.98K/9
2.72BB/9
0.99WHIP

Betting Edges

RUN_LINE AWAY +1.5
-35.0% EV
-130
TOTAL OVER 8.5
-17.6% EV
-109
RUN_LINE HOME -1.5
-16.8% EV
+108
ML HOME
-14.3% EV
-192
ML AWAY
+12.9% EV
+159
F5_ML HOME
-9.9% EV
-167

First 5 Innings & NRFI

WSH F5
1.9 runs
36.4% win
ATL F5
2.1 runs
44.9% win
F5 Total
4.0
NRFI
60.1%
YRFI
39.9%
Avg 1st Inn Runs
0.80

HR Spotlight

Avg HRs
1.6
Over 0.5 HR
78%
Over 1.5 HR
47%
No HR
22%
James Wood WSH27.4%
ISO: 0.292 | Barrel: 15.5% | vs Bryce Elder | Platoon: 1.12x
Matt Olson ATL18.8%
ISO: 0.256 | Barrel: 17.0% | vs Richard Lovelady
Michael Harris II ATL16.6%
ISO: 0.192 | Barrel: 13.0% | vs Richard Lovelady

Pitcher Strikeout Projections

Richard Lovelady
0.0 K projected
WSH | K/9: 0.0
Bryce Elder
0.0 K projected
ATL | K/9: 0.0

Injury Report

WSH8 injured
DJ Herz SP60-DAY-IL
Cole Henry RP15-DAY-IL
Trevor Williams SP60-DAY-IL
Josiah Gray SP60-DAY-IL
Tyler Baum DHDAY-TO-DAY
Ken Waldichuk RP60-DAY-IL
+2 more
ATL8 injured
AJ Smith-Shawver SP60-DAY-IL
Hurston Waldrep SP60-DAY-IL
Drake Baldwin C10-DAY-IL
Kyle Farmer DH10-DAY-IL
Joe Jimenez RP60-DAY-IL
Spencer Schwellenbach SP60-DAY-IL
+2 more

AI Intelligence Analysis

LEAN +1RED ZONE45.1% WR (n=164)
WSH away underdog at +159 shows attractive 12.9% ML edge (43.6% prob) — falls into underdog value bucket (15-20% edge bucket profitable at 51.8% WR). Bryce Elder (B- grade, 0.442 score) slightly weaker than Richard Lovelady (B- grade, 0.444 score), but park (ATL neutral) and weather (85.9F, thin air) suggest closer game than market pricing. UNDER 8.5 edge (9.0%) is appealing if bullpens are fresh.

Key Factors

  • Pitcher match-up: Bryce Elder (B- grade, 0.442 score, 22.5% K-rate, 8.0% BB-rate) vs Richard Lovelady (B- grade, 0.444 score, 21.5% K-rate, 10.8% BB-rate) — nearly identical; Lovelady slightly higher BB risk
  • WSH away underdog edge 12.9% on +159 is favorable for underdog — historically 10-15% underdog edges show positive WR (51.8%)
  • Truist Park (ATL neutral 1.0 factor) + thin air (85.9F) + negative wind (-1.2mph in) = modest pitcher advantage overall
  • UNDER 8.5 edge 9.0% (57.1% prob) is in YELLOW zone (49.9% WR) — not strong but directionally aligned with pitcher-friendly conditions
  • ATL bullpen: multiple IL arms (Joe Jimenez 60-day knee, Danny Young 60-day elbow) — potential fatigue if game goes deep

Risk Factors

  • Away underdog paradox: WSH at +159 is attractive on edge, but away teams historically underperform. The 12.9% edge is in profitable bucket (51.8%) so paradox partially resolved.
  • Thin air (85.9F) might inflate runs despite pitcher quality; model total (7.9) vs market (8.5) suggests market RIGHT on run suppression
  • Bryce Elder might outpitch model if he's trending up; recent performance unknown
PITCHER ADVANTAGEWEATHER IMPACTPARK FACTOR

Edge Analysis

Moneyline
ATL 54.7%
-16.8 pts
Run Line
-1.5
-16.8 pts
Total
8.5
+9.0 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. Full methodology →

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