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WASHINGTON

NATIONALSWSH

46-70  |  Road

8
FINAL
Sun, Aug 10 • 4:05 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

59-58  |  Home

0
Probable Pitchers
Clayton Beeter
STARTING PITCHER

Clayton Beeter

#39 | Relief Pitcher
@
Christian Koss
STARTING PITCHER

Christian Koss

#50 | Shortstop
Player W-L ERA WHIP IP K
Clayton Beeter None-None 9.45 -- 1.0 1
Christian Koss None-None 0.00 -- 1.0 --
None-None W-L None-None
9.45 ERA Ldr 0.00
-- WHIP --
1.0 IP (Innings Pitched) 1.0
1 Ldr K (Strikeouts) --
AI Model Win Probability
NATIONALS
39%
📊
GIANTS
61%
NATIONALS --
GIANTS --
AI Model Projected Total
AI Projection
7.8
Projected
Book Total
--
Over / Under Line
Over 0 50%
Under 0 50%
AI Model Spread Expectation
AI Spread Proj
-0.7
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +0.7 points (San Francisco)
NationalsWSH (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Nationals Cover

42.9%

Giants Cover

57.1%

+12+8+40-4-8-12
Distribution centered around SF -0.7 expected margin.
Margin of Victory (SF)

WSH By 1-2 runs

17.0%

WSH By 3-4 runs

11.4%

SF By 1-2 runs

19.4%

SF By 3-4 runs

15.6%

AI Model Projected Score
3.55
WASHINGTON
4.27
SAN FRANCISCO
Simulated Score
3
WASHINGTON
4
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Agreement
AI Giants Loss
61% Win Prob
C
Sim Giants Loss
50% Win Prob
D
Run Line (ATS)
Agreement
AI Giants (+0) Loss
Proj Runs: -0.7
D
Sim Giants (+0) Loss
Proj Runs: -1.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 7.8
D
Sim u0.0
Proj Total: 7.0
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
Hits (L5) +25.8% more
San Francisco: 8.8 vs Washington: 7.0
Total Bases (L5) +20.0% more
San Francisco: 14.8 vs Washington: 12.3
Home Runs (L5) +18.8% more
San Francisco: 1.4 vs Washington: 1.2
Strikeouts (L5) +10.2% more
San Francisco: 8.4 vs Washington: 7.6
Post-Mortem Analysis
Metric Projected Actual
Score Game
WSH Score 3.6 8
SF Score 4.3 0
Team Stats Splits (Home / Away)
Errors 0.2 / 0.6 1.0 / 0.0
Hits 8.8 / 7.0 3.0 / 17.0
Home Runs 1.4 / 1.2 0.0 / 1.0
Strikeouts 8.4 / 7.6 8.0 / 15.0
Total Bases 14.8 / 12.3 3.0 / 24.0
Walks 2.6 / 3.2 1.0 / 1.0
Public Market Splits
Moneyline
Open: -- → --
26%TICKETS74%
20%MONEY80%
Spread (ATS)
Open: -- → --
43%TICKETS57%
23%MONEY77%
Total (O/U)
Open: -- → --
58%TICKETS42%
59%MONEY41%
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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