Home / MLB Projections MLB / Nationals @ Giants WSH @ SF

WASHINGTON

NATIONALSWSH

33-33  |  Road

4
FINAL
Mon, Jun 8 • 9:45 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

27-39  |  Home

3
Probable Pitchers
Clayton Beeter
STARTING PITCHER

Clayton Beeter

#39 | Relief Pitcher
@
Dylan Smith
STARTING PITCHER

Dylan Smith

#66 | Relief Pitcher
Player W-L ERA WHIP IP K
Clayton Beeter None-None 3.93 -- 1.1 --
Dylan Smith None-None 0.00 -- 0.1 --
None-None W-L None-None
3.93 ERA Ldr 0.00
-- WHIP --
1.1 Ldr IP (Innings Pitched) 0.1
-- K (Strikeouts) --
AI Model Win Probability
NATIONALS
45%
📊
GIANTS
55%
NATIONALS --
GIANTS --
AI Model Projected Total
AI Projection
7.0
Projected
Book Total
--
Over / Under Line
Over 0 60%
Under 0 40%
AI Model Spread Expectation
AI Spread Proj
+1.0
SAN FRANCISCO
Book Spread
--
Book Line
NationalsWSH (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Nationals Cover

40.1%

Giants Cover

59.9%

-12-8-40+4+8+12
Distribution centered around SF +1.0 expected margin.
Margin of Victory (SF)

WSH By 1-2 runs

19.6%

WSH By 3-4 runs

16.3%

SF By 1-2 runs

16.3%

SF By 3-4 runs

10.6%

AI Model Projected Score
4
WASHINGTON
3
SAN FRANCISCO
Simulated Score
5
WASHINGTON
4
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Agreement
AI Nationals Win
45% Win Prob
D
Sim Nationals Win
50% Win Prob
D
Run Line (ATS)
Divergence
AI Giants (+1.5) Win
Proj Runs: +1.0
C
Sim Nationals (-1.5) Loss
Proj Runs: -1.0
D
Over/Under (Total)
No Consensus
AI u8.0 Win
Proj Total: 7.0
D
Sim o8.0 Loss
Proj Total: 9.0
D
Head-to-Head History
Date Game Score
Jun 10, 2026 WSH @ SF 10 - 11
Jun 9, 2026 WSH @ SF 6 - 3
Jun 8, 2026 WSH @ SF 4 - 3
Apr 19, 2026 SF @ WSH 0 - 3
Apr 18, 2026 SF @ WSH 7 - 6
Season Statistics Comparison
Washington WSH
vs
San Francisco SF
162
Games Played
162
5.07 ▲
Runs / Game
4.13
.246 ▲
Avg (AVG)
.245
.321 ▲
On-Base (OBP)
.306
.423 ▲
Slugging (SLG)
.400
.744 ▲
OPS
.706
210 ▲
Home Runs
178
Key Model Drivers
Runs per Game (Season) +18.5% more
Washington: 5.1 vs San Francisco: 4.1
Home Runs (Season) +15.2% more
Washington: 210.0 vs San Francisco: 178.0
OPS (Season) +3.8%
Washington: 74.4% vs San Francisco: 70.6%
Slugging Pct (Season) +2.3%
Washington: 42.3% vs San Francisco: 40.0%
Post-Mortem Analysis
Metric Projected Actual
Score Game
WSH Score 4.0 4
SF Score 3.0 3
Team Stats Splits (Home / Away)
Errors 0.9 / 0.5 0.0 / 2.0
Hits 9.2 / 7.0 13.0 / 8.0
Home Runs 1.7 / 1.7 0.0 / 0.0
Strikeouts 8.2 / 6.1 8.0 / 7.0
Total Bases 15.8 / 13.8 15.0 / 9.0
Walks 5.2 / 3.4 0.0 / 1.0
Public Market Splits
Moneyline
Open: -- → --
27%TICKETS73%
71%MONEY29%
Spread (ATS)
Open: -- → --
42%TICKETS58%
13%MONEY87%
Total (O/U)
Open: -- → --
79%TICKETS21%
92%MONEY8%
Situational Trends
📊 Win-Loss
WSH Advantage
77-85-0 (47.5%)
Margin: 0.0 ATS +/-:
SF
65-97-0 (40.1%)
Margin: -0.6 ATS +/-:
🎯 ATS (Spread)
WSH Advantage
(56.2%)
Margin: 0.0 ATS +/-:
SF
(51.2%)
Margin: -0.6 ATS +/-:
⚖️ Over/Under
WSH
85-69-8
O: 55.2% / U: 44.8% Total +/-: +1.3
SF
76-73-13
O: 51.0% / U: 49.0% Total +/-: +0.6
Season to Date Model Accuracy
AI Model
SIM Engine
SF
WSH
SF
WSH
ML
49% 79-81
57% 92-69
53% 85-75
54% 87-74
ATS
62% 100-60
58% 93-68
52% 83-77
57% 91-70
TTL
55% 82-68-10
50% 77-78-6
46% 68-81-11
42% 65-90-6
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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