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

LOS ANGELES

DODGERSLAD

82-65  |  Road

13
FINAL
Sat, Sep 13 • 9:05 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

75-72  |  Home

7
Probable Pitchers
Tanner Scott
STARTING PITCHER

Tanner Scott

#66 | Relief Pitcher
@
👤
STARTING PITCHER

Keaton Winn

#67 | Relief Pitcher
Player W-L ERA WHIP IP K
Tanner Scott None-None 4.91 -- 1.0 1
Keaton Winn None-None 4.50 -- 1.0 1
None-None W-L None-None
4.91 ERA Ldr 4.50
-- WHIP --
1.0 IP (Innings Pitched) 1.0
1 K (Strikeouts) 1
AI Model Win Probability
DODGERS
55%
📊
GIANTS
45%
DODGERS --
GIANTS --
AI Model Projected Total
AI Projection
11.2
Projected
Book Total
--
Over / Under Line
Over 0 55%
Under 0 45%
AI Model Spread Expectation
AI Spread Proj
-0.8
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +0.8 points (San Francisco)
DodgersLAD (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Dodgers Cover

41.6%

Giants Cover

58.4%

+12+8+40-4-8-12
Distribution centered around SF -0.8 expected margin.
Margin of Victory (SF)

LAD By 1-2 runs

16.7%

LAD By 3-4 runs

11.1%

SF By 1-2 runs

19.5%

SF By 3-4 runs

15.9%

AI Model Projected Score
5.15
LOS ANGELES
6
SAN FRANCISCO
Simulated Score
3
LOS ANGELES
5
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Agreement
AI Giants Loss
45% Win Prob
D
Sim Giants Loss
50% Win Prob
D
Run Line (ATS)
Agreement
AI Giants (+0) Loss
Proj Runs: -0.8
D
Sim Giants (+0) Loss
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 11.2
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
Strikeouts (L5) +42.7% more
Los Angeles: 13.4 vs San Francisco: 7.7
Hits (L5) +22.2% more
Los Angeles: 7.9 vs San Francisco: 6.1
Errors (L5) +20.0% more
Los Angeles: 0.7 vs San Francisco: 0.5
Total Bases (L5) +19.4% more
Los Angeles: 14.5 vs San Francisco: 11.6
Post-Mortem Analysis
Metric Projected Actual
Score Game
LAD Score 5.2 13
SF Score 6.0 7
Team Stats Splits (Home / Away)
Errors 0.5 / 0.7 0.0 / 1.0
Hits 6.1 / 7.9 8.0 / 17.0
Home Runs 1.4 / 1.7 0.0 / 1.0
Strikeouts 7.7 / 13.4 7.0 / 12.0
Total Bases 11.6 / 14.5 11.0 / 25.0
Walks 3.8 / 3.6 6.0 / 7.0
Public Market Splits
Moneyline
Open: -- → --
70%TICKETS30%
65%MONEY35%
Spread (ATS)
Open: -- → --
35%TICKETS65%
57%MONEY43%
Total (O/U)
Open: -- → --
67%TICKETS33%
65%MONEY35%
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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