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

SAN FRANCISCO

GIANTSSF

41-29  |  Road

5
FINAL
Sat, Jun 14 • 10:10 PM ET
Dodger Stadium
View Odds Details →

LOS ANGELES

DODGERSLAD

41-29  |  Home

11
Probable Pitchers
Landen Roupp
STARTING PITCHER

Landen Roupp

#65 | Starting Pitcher
@
Enrique Hernandez
STARTING PITCHER

Enrique Hernandez

#8 | Third Base
Player W-L ERA WHIP IP K
Landen Roupp None-None 3.99 -- 1.2 --
Enrique Hernandez None-None 9.00 -- 0.2 1
None-None W-L None-None
3.99 Ldr ERA 9.00
-- WHIP --
1.2 Ldr IP (Innings Pitched) 0.2
-- K (Strikeouts) Ldr 1
AI Model Win Probability
GIANTS
0%
📊
DODGERS
100%
GIANTS --
DODGERS --
AI Model Projected Total
AI Projection
8.7
Projected
Book Total
--
Over / Under Line
Over 0 0%
Under 0 100%
AI Model Spread Expectation
AI Spread Proj
-0.4
SAN FRANCISCO
Book Spread
--
Book Line
▲ Edge: +0.4 points (San Francisco)
GiantsSF (-3.5) 0 DodgersLAD (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Giants Cover

54.2%

Dodgers Cover

45.8%

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

SF By 1-2 runs

19.0%

SF By 3-4 runs

14.8%

LAD By 1-2 runs

17.6%

LAD By 3-4 runs

12.3%

AI Model Projected Score
4.57
SAN FRANCISCO
4.15
LOS ANGELES
Simulated Score
3
SAN FRANCISCO
5
LOS ANGELES
Projections Grades
Moneyline (ML)
Divergence
AI Giants Loss
0% Win Prob
D
Sim Dodgers Win
50% Win Prob
D
Run Line (ATS)
Divergence
AI Giants (-0) Loss
Proj Runs: -0.4
D
Sim Dodgers (+0) Win
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 8.7
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
San Francisco SF
vs
Los Angeles LAD
162
Games Played
162
4.13
Runs / Game
▲ 4.94
.245
Avg (AVG)
▲ .257
.306
On-Base (OBP)
▲ .338
.400
Slugging (SLG)
▲ .424
.706
OPS
▲ .762
178
Home Runs
▲ 204
Key Model Drivers
Home Runs (L5) +39.9% more
San Francisco: 1.7 vs Los Angeles: 1.0
Total Bases (L5) +35.6% more
San Francisco: 17.1 vs Los Angeles: 11.0
Hits (L5) +31.5% more
San Francisco: 9.6 vs Los Angeles: 6.6
Runs per Game (Season) +19.6% more
Los Angeles: 4.9 vs San Francisco: 4.1
Post-Mortem Analysis
Metric Projected Actual
Score Game
SF Score 4.6 5
LAD Score 4.2 11
Team Stats Splits (Home / Away)
Errors 0.5 / 0.5 1.0 / 0.0
Hits 6.6 / 9.6 11.0 / 6.0
Home Runs 1.0 / 1.7 4.0 / 1.0
Strikeouts 7.7 / 7.1 8.0 / 1.0
Total Bases 11.0 / 17.1 26.0 / 11.0
Walks 4.8 / 4.4 4.0 / 10.0
Public Market Splits
Moneyline
Open: -- → --
18%TICKETS82%
23%MONEY77%
Spread (ATS)
Open: -- → --
36%TICKETS64%
10%MONEY90%
Total (O/U)
Open: -- → --
55%TICKETS45%
64%MONEY36%
Situational Trends
📊 Win-Loss
SF
65-97-0 (40.1%)
Margin: -0.6 ATS +/-:
LAD Advantage
103-63-0 (62.1%)
Margin: 1.2 ATS +/-:
🎯 ATS (Spread)
SF Advantage
(51.2%)
Margin: -0.6 ATS +/-:
LAD
(43.4%)
Margin: 1.2 ATS +/-:
⚖️ Over/Under
SF
76-73-13
O: 51.0% / U: 49.0% Total +/-: +0.6
LAD
72-89-5
O: 44.7% / U: 55.3% Total +/-: 0.0
Season to Date Model Accuracy
AI Model
SIM Engine
LAD
SF
LAD
SF
ML
56% 92-73
49% 79-81
48% 79-87
53% 85-75
ATS
59% 98-67
62% 100-60
43% 72-94
52% 83-77
TTL
48% 77-82-6
55% 82-68-10
44% 70-90-6
46% 68-81-11
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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