Home / MLB Projections MLB / Dodgers @ Giants LAD @ SF

LOS ANGELES

DODGERSLAD

83-65  |  Road

10
FINAL
Sun, Sep 14 • 4:05 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

75-73  |  Home

2
Probable Pitchers
Edgardo Henriquez
STARTING PITCHER

Edgardo Henriquez

#60 | Relief Pitcher
@
JT Brubaker
STARTING PITCHER

JT Brubaker

#34 | Relief Pitcher
Player W-L ERA WHIP IP K
Edgardo Henriquez None-None 1.80 -- 0.1 --
JT Brubaker None-None 4.03 -- 2.0 1
None-None W-L None-None
1.80 Ldr ERA 4.03
-- WHIP --
0.1 IP (Innings Pitched) Ldr 2.0
-- K (Strikeouts) Ldr 1
AI Model Win Probability
DODGERS
55%
📊
GIANTS
45%
DODGERS --
GIANTS --
AI Model Projected Total
AI Projection
11.5
Projected
Book Total
--
Over / Under Line
Over 0 55%
Under 0 45%
AI Model Spread Expectation
AI Spread Proj
-0.2
LOS ANGELES
Book Spread
--
Book Line
▲ Edge: +0.2 points (Los Angeles)
DodgersLAD (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Dodgers Cover

52.0%

Giants Cover

48.0%

-12-8-40+4+8+12
Distribution centered around LAD -0.2 expected margin.
Margin of Victory (LAD)

LAD By 1-2 runs

18.7%

LAD By 3-4 runs

14.1%

SF By 1-2 runs

18.1%

SF By 3-4 runs

13.0%

AI Model Projected Score
5.87
LOS ANGELES
5.67
SAN FRANCISCO
Simulated Score
2
LOS ANGELES
4
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Divergence
AI Dodgers Win
55% Win Prob
D
Sim Giants Loss
50% Win Prob
D
Run Line (ATS)
Divergence
AI Dodgers (-0) Win
Proj Runs: -0.2
C
Sim Giants (+0) Loss
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 11.5
D
Sim u0.0
Proj Total: 6.0
D
Head-to-Head History
Date Game Score
Sep 27, 2026 LAD @ SF 5 - 1
Sep 26, 2026 LAD @ SF 4 - 3
Sep 25, 2026 LAD @ SF 2 - 0
Sep 20, 2026 SF @ LAD 1 - 3
Sep 19, 2026 SF @ LAD 4 - 10
Season Statistics Comparison
Los Angeles LAD
vs
San Francisco SF
162
Games Played
162
4.94 ▲
Runs / Game
4.13
.257 ▲
Avg (AVG)
.245
.338 ▲
On-Base (OBP)
.306
.424 ▲
Slugging (SLG)
.400
.762 ▲
OPS
.706
204 ▲
Home Runs
178
Key Model Drivers
Errors (L5) +47.0% more
Los Angeles: 0.8 vs San Francisco: 0.3
Strikeouts (L5) +42.4% more
Los Angeles: 12.9 vs San Francisco: 7.4
Hits (L5) +38.1% more
Los Angeles: 10.9 vs San Francisco: 6.8
Home Runs (L5) +37.1% more
Los Angeles: 1.4 vs San Francisco: 0.9
Post-Mortem Analysis
Metric Projected Actual
Score Game
LAD Score 5.9 10
SF Score 5.7 2
Team Stats Splits (Home / Away)
Errors 0.3 / 0.8 0.0 / 0.0
Hits 6.8 / 10.9 5.0 / 18.0
Home Runs 0.9 / 1.4 0.0 / 0.0
Strikeouts 7.4 / 12.9 9.0 / 4.0
Total Bases 11.4 / 18.0 6.0 / 20.0
Walks 4.5 / 4.7 6.0 / 5.0
Public Market Splits
Moneyline
Open: -- → --
74%TICKETS26%
59%MONEY41%
Spread (ATS)
Open: -- → --
49%TICKETS51%
58%MONEY42%
Total (O/U)
Open: -- → --
74%TICKETS26%
74%MONEY26%
Situational Trends
📊 Win-Loss
LAD Advantage
103-63-0 (62.1%)
Margin: 1.2 ATS +/-:
SF
65-97-0 (40.1%)
Margin: -0.6 ATS +/-:
🎯 ATS (Spread)
LAD
(43.4%)
Margin: 1.2 ATS +/-:
SF Advantage
(51.2%)
Margin: -0.6 ATS +/-:
⚖️ Over/Under
LAD
72-89-5
O: 44.7% / U: 55.3% Total +/-: 0.0
SF
76-73-13
O: 51.0% / U: 49.0% Total +/-: +0.6
Season to Date Model Accuracy
AI Model
SIM Engine
SF
LAD
SF
LAD
ML
49% 79-81
56% 92-73
53% 85-75
48% 79-87
ATS
62% 100-60
59% 98-67
52% 83-77
43% 72-94
TTL
55% 82-68-10
48% 77-82-6
46% 68-81-11
44% 70-90-6
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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