Probable Pitchers
STARTING PITCHER
JT Brubaker
#34 | Relief Pitcher@
STARTING PITCHER
Tanner Scott
#66 | Relief Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| JT Brubaker | None-None | 3.66 | -- | 1.0 | 1 |
| Tanner Scott | None-None | 1.47 | -- | 1.0 | 2 |
None-None
W-L
None-None
3.66
ERA
Ldr 1.47
--
WHIP
--
1.0
IP (Innings Pitched)
1.0
1
K (Strikeouts)
Ldr 2
AI Model Win Probability
GIANTS
100%
DODGERS
0%
GIANTS
--
DODGERS
--
AI Model Projected Total
AI Projection
11.0
Projected
Book Total
--
Over / Under Line
Over 0
0%
Under 0
100%
AI Model Spread Expectation
AI Spread Proj
-1.0
LOS ANGELES
Book Spread
--
Book Line
▲ Edge: +1.0 points (Los Angeles)
Spread Distribution
AI Model
+12+8+40-4-8-12
Distribution centered around LAD -1.0 expected margin.
Margin of Victory (LAD)
SF By 1-2 runs
16.3%
SF By 3-4 runs
10.6%
LAD By 1-2 runs
19.6%
LAD By 3-4 runs
16.3%
AI Model Projected Score
San Francisco
5
SAN FRANCISCO
Los Angeles
6
LOS ANGELES
Simulated Score
San Francisco
4
SAN FRANCISCO
Los Angeles
5
LOS ANGELES
Projections Grades
Moneyline (ML)
Agreement
AI
Dodgers
Win
0% Win Prob
D
Sim
Dodgers
Win
50% Win Prob
D
Run Line (ATS)
Agreement
AI
Dodgers (+1.5)
Win
Proj Runs: -1.0
D
Sim
Dodgers (+1.5)
Win
Proj Runs: -1.0
D
Over/Under (Total)
No Consensus
AI
o7.5
Loss
Proj Total: 11.0
D
Sim
o7.5
Loss
Proj Total: 9.0
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)
+59.1% more
Los Angeles: 9.5
vs
San Francisco: 6.0
Home Runs (L5)
+22.5% more
Los Angeles: 1.4
vs
San Francisco: 1.1
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
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
SF Score
5.0
2
LAD Score
6.0
5
Team Stats Splits (Home / Away)
Errors
0.4 / 0.4
0.0 / 1.0
Hits
7.1 / 8.8
8.0 / 2.0
Home Runs
1.4 / 1.1
1.0 / 1.0
Strikeouts
9.5 / 6.0
10.0 / 9.0
Total Bases
12.7 / 14.0
13.0 / 5.0
Walks
2.4 / 4.2
3.0 / 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