Probable Pitchers
STARTING PITCHER
Shane Drohan
#55 | Starting Pitcher@
STARTING PITCHER
Tyler Glasnow
#31 | Starting Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Shane Drohan | 0-0 | 0.00 | 0.00 | -- | -- |
| Tyler Glasnow | 0-0 | 1.93 | 1.29 | 4.2 | 5 |
0-0
W-L
0-0
0.00 Ldr
ERA
1.93
0.00 Ldr
WHIP
1.29
--
IP (Innings Pitched)
Ldr 4.2
--
K (Strikeouts)
Ldr 5
AI Model Win Probability
BREWERS
35%
DODGERS
65%
▲ Edge: +4.90% (LAD)
BREWERS
43%
Book Odds: +135
DODGERS
60%
Book Odds: -151
AI Model Projected Total
AI Projection
9.0
Projected
Book Total
8.0
Over / Under Line
▲
Edge: +1.0 (Over)
Over 8.0
60%
Under 8.0
40%
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)
MIL By 1-2 runs
13.6%
MIL By 3-4 runs
7.8%
LAD By 1-2 runs
19.6%
LAD By 3-4 runs
18.4%
AI Model Projected Score
Milwaukee
3.5
MILWAUKEE
Book Implied: 3.20
Los Angeles
5.5
LOS ANGELES
Book Implied: 4.80
Simulated Score
Milwaukee
6
MILWAUKEE
Book Implied: 3.20
Los Angeles
5
LOS ANGELES
Book Implied: 4.80
Projections Grades
Moneyline (ML)
Divergence
AI
Dodgers
Loss
65% Win Prob
B
Sim
Brewers
Win
61% Win Prob
C
Run Line (ATS)
Divergence
AI
Dodgers (-1.5)
Loss
Proj Runs: -2.0
D
Sim
Brewers (+1.5)
Win
Proj Runs: -1.0
A
Over/Under (Total)
Agreement
👑 Top Selection
AI
o8.0
Win
Proj Total: 9.0
B
Sim
o8.0
Win
Proj Total: 11.0
A
Head-to-Head History
Date
Game
Score
Oct 15, 2026
MIL @ LAD
6 - 4
Oct 14, 2026
MIL @ LAD
6 - 2
Oct 12, 2026
LAD @ MIL
4 - 7
Oct 11, 2026
LAD @ MIL
1 - 2
Aug 16, 2026
MIL @ LAD
6 - 2
Season Statistics Comparison
Milwaukee
MIL
vs
Los Angeles
LAD
162
Games Played
162
5.14
▲
Runs / Game
4.94
.258
▲
Avg (AVG)
.257
.341
▲
On-Base (OBP)
.338
.403
Slugging (SLG)
▲
.424
.743
OPS
▲
.762
154
Home Runs
▲
204
Key Model Drivers
Home Runs (Season)
+32.5% more
Los Angeles: 204.0
vs
Milwaukee: 154.0
Slugging Pct (Season)
+2.1%
Los Angeles: 42.4%
vs
Milwaukee: 40.3%
OPS (Season)
+1.9%
Los Angeles: 76.2%
vs
Milwaukee: 74.3%
Home Runs (L5)
+68.8% more
Milwaukee: 1.5
vs
Los Angeles: 0.5
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
MIL Score
3.5
6
LAD Score
5.5
4
Team Stats Splits (Home / Away)
Errors
0.5 / 0.8
0.0 / 1.0
Hits
5.4 / 9.2
8.0 / 5.0
Home Runs
0.5 / 1.5
1.0 / 2.0
Strikeouts
8.3 / 10.1
8.0 / 10.0
Total Bases
7.5 / 14.7
14.0 / 13.0
Walks
3.5 / 3.9
2.0 / 5.0
Public Market Splits
Moneyline
Open: +148 / -180
→
+135 / -151
↓
Spread (ATS)
Open: +1.5 / -1.5
→
+1.5 / -1.5
Total (O/U)
Open: 7.5
→
8
↑
Situational Trends
📊 Win-Loss
MIL
Advantage
114-61-0
(65.1%)
Margin: 1.4
ATS +/-:
LAD
103-67-0
(60.6%)
Margin: 1.2
ATS +/-:
🎯 ATS (Spread)
MIL
Advantage
(53.7%)
Margin: 1.4
ATS +/-:
LAD
(42.4%)
Margin: 1.2
ATS +/-:
⚖️ Over/Under
MIL
78-92-5
O: 45.9% / U: 54.1%
Total +/-: +0.8
LAD
75-90-5
O: 45.5% / U: 54.6%
Total +/-: +0.1
Season to Date Model Accuracy
AI Model
SIM Engine
LAD
MIL
LAD
MIL
ML
54%
92-77
61%
104-67
48%
81-89
53%
90-81
ATS
58%
98-71
56%
95-76
44%
75-95
49%
83-88
TTL
49%
80-83-6
41%
67-96-8
45%
73-91-6
51%
83-80-8