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

LOS ANGELES

DODGERSLAD

82-64  |  Road

1
FINAL
Fri, Sep 12 • 10:15 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

74-72  |  Home

5
Probable Pitchers
Tanner Scott
STARTING PITCHER

Tanner Scott

#66 | Relief Pitcher
@
Grant McCray
STARTING PITCHER

Grant McCray

#58 | Center Field
Player W-L ERA WHIP IP K
Tanner Scott None-None 5.01 -- -- --
Grant McCray None-None -- -- -- --
None-None W-L None-None
5.01 ERA --
-- WHIP --
-- IP (Innings Pitched) --
-- K (Strikeouts) --
AI Model Win Probability
DODGERS
55%
📊
GIANTS
45%
DODGERS --
GIANTS --
AI Model Projected Total
AI Projection
11.3
Projected
Book Total
--
Over / Under Line
Over 0 65%
Under 0 35%
AI Model Spread Expectation
AI Spread Proj
-0.4
LOS ANGELES
Book Spread
--
Book Line
▲ Edge: +0.4 points (Los Angeles)
DodgersLAD (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Dodgers Cover

54.3%

Giants Cover

45.7%

-12-8-40+4+8+12
Distribution centered around LAD -0.4 expected margin.
Margin of Victory (LAD)

LAD By 1-2 runs

19.1%

LAD By 3-4 runs

14.8%

SF By 1-2 runs

17.6%

SF By 3-4 runs

12.3%

AI Model Projected Score
5.84
LOS ANGELES
5.41
SAN FRANCISCO
Simulated Score
3
LOS ANGELES
5
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Divergence
AI Dodgers Loss
55% Win Prob
D
Sim Giants Win
50% Win Prob
D
Run Line (ATS)
Divergence
AI Dodgers (-0) Loss
Proj Runs: -0.4
B
Sim Giants (+0) Win
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 11.3
C
Sim u0.0
Proj Total: 8.0
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
Strikeouts (L5) +33.7% more
Los Angeles: 13.6 vs San Francisco: 9.0
Home Runs (L5) +22.8% more
Los Angeles: 2.0 vs San Francisco: 1.5
Hits (L5) +21.6% more
Los Angeles: 9.8 vs San Francisco: 7.7
Total Bases (L5) +21.0% more
Los Angeles: 17.7 vs San Francisco: 14.0
Post-Mortem Analysis
Metric Projected Actual
Score Game
LAD Score 5.8 1
SF Score 5.4 5
Team Stats Splits (Home / Away)
Errors 0.7 / 0.0 0.0 / 2.0
Hits 7.7 / 9.8 3.0 / 4.0
Home Runs 1.5 / 2.0 1.0 / 1.0
Strikeouts 9.0 / 13.6 5.0 / 13.0
Total Bases 14.0 / 17.7 7.0 / 8.0
Walks 3.2 / 3.4 5.0 / 4.0
Public Market Splits
Moneyline
Open: -- → --
84%TICKETS16%
74%MONEY26%
Spread (ATS)
Open: -- → --
63%TICKETS37%
83%MONEY17%
Total (O/U)
Open: -- → --
63%TICKETS37%
8%MONEY92%
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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