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

LOS ANGELES

DODGERSLAD

16-6  |  Road

1
FINAL
Tue, Apr 21 • 9:45 PM ET
Oracle Park
View Odds Details →

SAN FRANCISCO

GIANTSSF

9-13  |  Home

3
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 0.93 -- 1.0 1
Keaton Winn None-None 2.79 -- 0.1 1
None-None W-L None-None
0.93 Ldr ERA 2.79
-- WHIP --
1.0 Ldr IP (Innings Pitched) 0.1
1 K (Strikeouts) 1
AI Model Win Probability
DODGERS
100%
📊
GIANTS
0%
DODGERS --
GIANTS --
AI Model Projected Total
AI Projection
13.0
Projected
Book Total
--
Over / Under Line
Over 0 0%
Under 0 100%
AI Model Spread Expectation
AI Spread Proj
-1.0
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +1.0 points (San Francisco)
DodgersLAD (-3.5) 0 GiantsSF (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Dodgers Cover

40.1%

Giants Cover

59.9%

+12+8+40-4-8-12
Distribution centered around SF -1.0 expected margin.
Margin of Victory (SF)

LAD By 1-2 runs

16.3%

LAD By 3-4 runs

10.6%

SF By 1-2 runs

19.6%

SF By 3-4 runs

16.3%

AI Model Projected Score
6
LOS ANGELES
7
SAN FRANCISCO
Simulated Score
3
LOS ANGELES
5
SAN FRANCISCO
Projections Grades
Moneyline (ML)
Agreement
AI Giants Win
0% Win Prob
D
Sim Giants Win
50% Win Prob
D
Run Line (ATS)
Agreement
AI Giants (+1.5) Win
Proj Runs: -1.0
D
Sim Giants (+1.5) Win
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o7.5 Loss
Proj Total: 13.0
D
Sim o7.5 Loss
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) +53.4% more
San Francisco: 3.2 vs Los Angeles: 2.1
Errors (L5) +38.0% more
San Francisco: 0.4 vs Los Angeles: 0.0
Strikeouts (L5) +27.4% more
San Francisco: 8.7 vs Los Angeles: 6.9
Home Runs (L5) +69.5% more
Los Angeles: 2.6 vs San Francisco: 0.8
Post-Mortem Analysis
Metric Projected Actual
Score Game
LAD Score 6.0 1
SF Score 7.0 3
Team Stats Splits (Home / Away)
Errors 0.4 / 0.0 0.0 / 1.0
Hits 10.7 / 12.5 6.0 / 3.0
Home Runs 0.8 / 2.6 0.0 / 0.0
Strikeouts 8.7 / 6.9 12.0 / 8.0
Total Bases 15.1 / 21.9 6.0 / 4.0
Walks 3.2 / 2.1 7.0 / 3.0
Public Market Splits
Moneyline
Open: -- → --
92%TICKETS8%
81%MONEY19%
Spread (ATS)
Open: -- → --
83%TICKETS17%
85%MONEY15%
Total (O/U)
Open: -- → --
70%TICKETS30%
45%MONEY55%
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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