Probable Pitchers
STARTING PITCHER
Logan Webb
#62 | Starting Pitcher@
STARTING PITCHER
Justin Wrobleski
#70 | Starting Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Logan Webb | None-None | 2.58 | -- | 7.0 | 4 |
| Justin Wrobleski | None-None | 6.05 | -- | 4.1 | 5 |
None-None
W-L
None-None
2.58 Ldr
ERA
6.05
--
WHIP
--
7.0 Ldr
IP (Innings Pitched)
4.1
4
K (Strikeouts)
Ldr 5
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)
Spread Distribution
AI Model
-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
14.6%
LAD By 1-2 runs
17.8%
LAD By 3-4 runs
12.5%
AI Model Projected Score
San Francisco
4.53
SAN FRANCISCO
Los Angeles
4.17
LOS ANGELES
Simulated Score
San Francisco
3
SAN FRANCISCO
Los Angeles
5
LOS ANGELES
Projections Grades
Moneyline (ML)
Divergence
AI
Giants
Win
0% Win Prob
D
Sim
Dodgers
Loss
50% Win Prob
D
Run Line (ATS)
Divergence
AI
Giants (-0)
Win
Proj Runs: -0.4
D
Sim
Dodgers (+0)
Loss
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
Strikeouts (L5)
+14.8% more
San Francisco: 8.2
vs
Los Angeles: 7.0
Runs per Game (Season)
+19.6% more
Los Angeles: 4.9
vs
San Francisco: 4.1
Home Runs (Season)
+14.6% more
Los Angeles: 204.0
vs
San Francisco: 178.0
OPS (Season)
+5.6%
Los Angeles: 76.2%
vs
San Francisco: 70.6%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SF Score
4.5
6
LAD Score
4.2
2
Team Stats Splits (Home / Away)
Errors
0.8 / 0.8
0.0 / 0.0
Hits
8.9 / 9.4
2.0 / 10.0
Home Runs
1.0 / 1.0
1.0 / 3.0
Strikeouts
7.0 / 8.2
9.0 / 5.0
Total Bases
14.1 / 14.7
5.0 / 22.0
Walks
4.6 / 4.6
5.0 / 4.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
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