LOS ANGELES
DODGERSLAD
3-3 | Road
5
TORONTO
BLUE JAYSTOR
3-3 | Home
4
Probable Pitchers
STARTING PITCHER
Yoshinobu Yamamoto
#18 | Starting Pitcher@
STARTING PITCHER
Shane Bieber
#57 | Starting Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Yoshinobu Yamamoto | None-None | 1.45 | -- | 2.2 | 1 |
| Shane Bieber | None-None | 3.86 | -- | 1.0 | -- |
None-None
W-L
None-None
1.45 Ldr
ERA
3.86
--
WHIP
--
2.2 Ldr
IP (Innings Pitched)
1.0
1 Ldr
K (Strikeouts)
--
AI Model Win Probability
DODGERS
50%
BLUE JAYS
50%
DODGERS
--
BLUE JAYS
--
AI Model Projected Total
AI Projection
11.2
Projected
Book Total
--
Over / Under Line
Over 0
47%
Under 0
53%
AI Model Spread Expectation
AI Spread Proj
-1.8
LOS ANGELES
Book Spread
--
Book Line
▲ Edge: +1.8 points (Los Angeles)
Spread Distribution
AI Model
-12-8-40+4+8+12
Distribution centered around LAD -1.8 expected margin.
Margin of Victory (LAD)
LAD By 1-2 runs
19.7%
LAD By 3-4 runs
18.0%
TOR By 1-2 runs
14.2%
TOR By 3-4 runs
8.4%
AI Model Projected Score
Los Angeles
6.5
LOS ANGELES
Toronto
4.73
TORONTO
Simulated Score
Los Angeles
3
LOS ANGELES
Toronto
5
TORONTO
Projections Grades
Moneyline (ML)
Divergence
AI
Dodgers
Win
50% Win Prob
D
Sim
Blue Jays
Loss
50% Win Prob
D
Run Line (ATS)
Divergence
AI
Dodgers (-0)
Win
Proj Runs: -1.8
D
Sim
Blue Jays (+0)
Loss
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI
o0
Win
Proj Total: 11.2
D
Sim
u0.0
Proj Total: 8.0
D
Head-to-Head History
Date
Game
Score
Apr 8, 2026
LAD @ TOR
3 - 4
Apr 7, 2026
LAD @ TOR
4 - 1
Apr 6, 2026
LAD @ TOR
14 - 2
Nov 1, 2025
LAD @ TOR
5 - 4
Oct 31, 2025
LAD @ TOR
3 - 1
Season Statistics Comparison
Los Angeles
LAD
vs
Toronto
TOR
162
Games Played
162
4.94
▲
Runs / Game
4.00
.257
▲
Avg (AVG)
.247
.338
▲
On-Base (OBP)
.310
.424
▲
Slugging (SLG)
.381
.762
▲
OPS
.692
204
▲
Home Runs
152
Key Model Drivers
Errors (L5)
+57.0% more
Los Angeles: 0.6
vs
Toronto: 0.0
Home Runs (Season)
+25.5% more
Los Angeles: 204.0
vs
Toronto: 152.0
Runs per Game (Season)
+19.0% more
Los Angeles: 4.9
vs
Toronto: 4.0
OPS (Season)
+7.0%
Los Angeles: 76.2%
vs
Toronto: 69.2%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
LAD Score
6.5
5
TOR Score
4.7
4
Team Stats Splits (Home / Away)
Errors
0.0 / 0.6
0.0 / 0.0
Hits
9.5 / 6.1
14.0 / 11.0
Home Runs
1.0 / 0.9
1.0 / 3.0
Strikeouts
11.5 / 8.8
5.0 / 12.0
Total Bases
14.7 / 10.5
20.0 / 21.0
Walks
4.0 / 3.8
5.0 / 4.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
LAD
Advantage
103-63-0
(62.1%)
Margin: 1.2
ATS +/-:
TOR
79-83-0
(48.8%)
Margin: -0.3
ATS +/-:
🎯 ATS (Spread)
LAD
(43.4%)
Margin: 1.2
ATS +/-:
TOR
Advantage
(46.9%)
Margin: -0.3
ATS +/-:
⚖️ Over/Under
LAD
72-89-5
O: 44.7% / U: 55.3%
Total +/-: 0.0
TOR
81-76-5
O: 51.6% / U: 48.4%
Total +/-: +0.3
Season to Date Model Accuracy
AI Model
SIM Engine
TOR
LAD
TOR
LAD
ML
46%
74-87
56%
92-73
50%
80-80
48%
79-87
ATS
56%
90-71
59%
98-67
49%
79-81
43%
72-94
TTL
51%
80-76-5
48%
77-82-6
45%
70-85-5
44%
70-90-6
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