LOS ANGELES
DODGERSLAD
98-62 | Road
2
SAN FRANCISCO
GIANTSSF
65-95 | Home
0
Probable Pitchers
STARTING PITCHER
Tarik Skubal
#29 | Starting Pitcher@
👤
STARTING PITCHER
Yunior Marte
#87 | Starting Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Tarik Skubal | 11-7 | 2.85 | 0.99 | 151.2 | 176 |
| Yunior Marte | 0-1 | 4.66 | 1.40 | 19.1 | 11 |
11-7
W-L
0-1
2.85 Ldr
ERA
4.66
0.99 Ldr
WHIP
1.40
151.2 Ldr
IP (Innings Pitched)
19.1
176 Ldr
K (Strikeouts)
11
AI Model Win Probability
DODGERS
62%
GIANTS
38%
▲ Edge: +10.20% (SF)
DODGERS
77%
Book Odds: -337
GIANTS
28%
Book Odds: +264
AI Model Projected Total
AI Projection
9.0
Projected
Book Total
7.5
Over / Under Line
▲
Edge: +1.5 (Over)
Over 7.5
65%
Under 7.5
35%
AI Model Spread Expectation
AI Spread Proj
-2.0
LOS ANGELES
Book Spread
-1.5
Book Line
▲ Edge: +0.5 points (Los Angeles)
Spread Distribution
AI Model
-12-8-40+4+8+12
Distribution centered around LAD -2.0 expected margin.
Margin of Victory (LAD)
LAD By 1-2 runs
19.6%
LAD By 3-4 runs
18.4%
SF By 1-2 runs
13.6%
SF By 3-4 runs
7.8%
AI Model Projected Score
Los Angeles
5.5
LOS ANGELES
Book Implied: 4.50
San Francisco
3.5
SAN FRANCISCO
Book Implied: 3
Simulated Score
Los Angeles
5
LOS ANGELES
Book Implied: 4.50
San Francisco
6
SAN FRANCISCO
Book Implied: 3
Projections Grades
Moneyline (ML)
Divergence
AI
Dodgers
Win
62% Win Prob
C
Sim
Giants
Loss
59% Win Prob
C
Run Line (ATS)
Divergence
AI
Dodgers (-1.5)
Win
Proj Runs: -2.0
C
Sim
Giants (+1.5)
Loss
Proj Runs: -1.0
A
Over/Under (Total)
Agreement
👑 Top Selection
AI
o7.5
Loss
Proj Total: 9.0
A
Sim
o7.5
Loss
Proj Total: 11.0
A
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
Home Runs (L5)
+44.0% more
Los Angeles: 0.8
vs
San Francisco: 0.4
Total Bases (L5)
+39.0% more
Los Angeles: 13.8
vs
San Francisco: 8.4
Hits (L5)
+31.2% more
Los Angeles: 9.2
vs
San Francisco: 6.3
Runs per Game (Season)
+16.4% more
Los Angeles: 4.9
vs
San Francisco: 4.1
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
LAD Score
5.5
2
SF Score
3.5
0
Team Stats Splits (Home / Away)
Errors
0.8 / 0.6
1.0 / 0.0
Hits
6.3 / 9.2
3.0 / 7.0
Home Runs
0.4 / 0.8
0.0 / 2.0
Strikeouts
9.8 / 8.7
14.0 / 7.0
Total Bases
8.4 / 13.8
3.0 / 13.0
Walks
3.3 / 3.3
0.0 / 1.0
Public Market Splits
Moneyline
Open: -398 / +307
→
-337 / +264
↑
Spread (ATS)
Open: -1.5 / +1.5
→
-1.5 / +1.5
Total (O/U)
Open: 7
→
7.5
↑
Situational Trends
📊 Win-Loss
LAD
Advantage
103-66-0
(61.0%)
Margin: 1.2
ATS +/-:
SF
65-97-0
(40.1%)
Margin: -0.6
ATS +/-:
🎯 ATS (Spread)
LAD
(42.6%)
Margin: 1.2
ATS +/-:
SF
Advantage
(51.2%)
Margin: -0.6
ATS +/-:
⚖️ Over/Under
LAD
74-90-5
O: 45.1% / U: 54.9%
Total +/-: +0.1
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
55%
92-76
53%
85-75
47%
80-89
ATS
62%
100-60
58%
98-70
52%
83-77
44%
74-95
TTL
55%
82-68-10
49%
79-83-6
46%
68-81-11
44%
72-91-6
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