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

LOS ANGELES

DODGERSLAD

56-39  |  Road

2
FINAL
Sat, Jul 12 • 4:05 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

52-43  |  Home

1
Probable Pitchers
Tanner Scott
STARTING PITCHER

Tanner Scott

#66 | Relief Pitcher
@
Landen Roupp
STARTING PITCHER

Landen Roupp

#65 | Starting Pitcher
Player W-L ERA WHIP IP K
Tanner Scott None-None 3.77 -- 1.0 2
Landen Roupp None-None 3.27 -- 6.0 8
None-None W-L None-None
3.77 ERA Ldr 3.27
-- WHIP --
1.0 IP (Innings Pitched) Ldr 6.0
2 K (Strikeouts) Ldr 8
AI Model Win Probability
DODGERS
54%
📊
GIANTS
46%
DODGERS --
GIANTS --
AI Model Projected Total
AI Projection
7.8
Projected
Book Total
--
Over / Under Line
Over 0 40%
Under 0 60%
AI Model Spread Expectation
AI Spread Proj
-0.5
LOS ANGELES
Book Spread
--
Book Line
▲ Edge: +0.5 points (Los Angeles)
DodgersLAD (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Dodgers Cover

55.3%

Giants Cover

44.7%

-12-8-40+4+8+12
Distribution centered around LAD -0.5 expected margin.
Margin of Victory (LAD)

LAD By 1-2 runs

19.2%

LAD By 3-4 runs

15.1%

SF By 1-2 runs

17.4%

SF By 3-4 runs

12.0%

AI Model Projected Score
4.15
LOS ANGELES
3.62
SAN FRANCISCO
Simulated Score
3
LOS ANGELES
5
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Divergence
AI Dodgers Win
54% Win Prob
D
Sim Giants Loss
50% Win Prob
D
Run Line (ATS)
Divergence
AI Dodgers (-0) Win
Proj Runs: -0.5
B
Sim Giants (+0) Loss
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 7.8
D
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
Walks (L5) +24.6% more
Los Angeles: 4.0 vs San Francisco: 3.0
Runs per Game (Season) +16.4% more
Los Angeles: 4.9 vs San Francisco: 4.1
Home Runs (Season) +12.7% more
Los Angeles: 204.0 vs San Francisco: 178.0
Strikeouts (L5) +8.6% more
Los Angeles: 7.8 vs San Francisco: 7.1
Post-Mortem Analysis
Metric Projected Actual
Score Game
LAD Score 4.2 2
SF Score 3.6 1
Team Stats Splits (Home / Away)
Errors 1.3 / 0.5 1.0 / 0.0
Hits 7.8 / 7.6 3.0 / 8.0
Home Runs 1.1 / 1.0 0.0 / 0.0
Strikeouts 7.1 / 7.8 10.0 / 9.0
Total Bases 13.4 / 12.5 3.0 / 9.0
Walks 3.0 / 4.0 1.0 / 4.0
Public Market Splits
Moneyline
Open: -- → --
80%TICKETS20%
89%MONEY11%
Spread (ATS)
Open: -- → --
55%TICKETS45%
88%MONEY12%
Total (O/U)
Open: -- → --
67%TICKETS33%
70%MONEY30%
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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