TORONTO
BLUE JAYSTOR
10-13 | Road
3
LOS ANGELES
ANGELSLAA
11-14 | Home
7
Probable Pitchers
STARTING PITCHER
Jose Soriano
#40 | Starting Pitcher@
STARTING PITCHER
Vaughn Grissom
#5 | First Base| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Jose Soriano | None-None | 0.24 | -- | 5.0 | 4 |
| Vaughn Grissom | None-None | -- | -- | -- | -- |
None-None
W-L
None-None
0.24
ERA
--
--
WHIP
--
5.0
IP (Innings Pitched)
--
4
K (Strikeouts)
--
AI Model Win Probability
BLUE JAYS
0%
ANGELS
100%
BLUE JAYS
--
ANGELS
--
AI Model Projected Total
AI Projection
7.0
Projected
Book Total
--
Over / Under Line
Over 0
100%
Under 0
0%
AI Model Spread Expectation
AI Spread Proj
-3.0
TORONTO
Book Spread
--
Book Line
▲ Edge: +3.0 points (Toronto)
Spread Distribution
AI Model
-12-8-40+4+8+12
Distribution centered around TOR -3.0 expected margin.
Margin of Victory (TOR)
TOR By 1-2 runs
18.4%
TOR By 3-4 runs
19.6%
LAA By 1-2 runs
10.6%
LAA By 3-4 runs
5.4%
AI Model Projected Score
Toronto
5
TORONTO
Los Angeles
2
LOS ANGELES
Simulated Score
Toronto
6
TORONTO
Los Angeles
4
LOS ANGELES
Projections Grades
Moneyline (ML)
Agreement
AI
Blue Jays
Loss
0% Win Prob
D
Sim
Blue Jays
Loss
50% Win Prob
D
Run Line (ATS)
Agreement
AI
Blue Jays (-1.5)
Loss
Proj Runs: -3.0
D
Sim
Blue Jays (-1.5)
Loss
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI
u8.0
Loss
Proj Total: 7.0
D
Sim
o8.0
Win
Proj Total: 10.0
D
Head-to-Head History
Date
Game
Score
May 10, 2026
LAA @ TOR
6 - 1
May 9, 2026
LAA @ TOR
1 - 14
May 8, 2026
LAA @ TOR
0 - 2
Apr 22, 2026
TOR @ LAA
3 - 7
Apr 21, 2026
TOR @ LAA
4 - 2
Season Statistics Comparison
Toronto
TOR
vs
Los Angeles
LAA
162
Games Played
162
4.00
Runs / Game
▲
4.04
.247
▲
Avg (AVG)
.234
.310
On-Base (OBP)
.310
.381
▲
Slugging (SLG)
.369
.692
▲
OPS
.679
152
Home Runs
▲
154
Key Model Drivers
Hits (L5)
+35.8% more
Toronto: 9.3
vs
Los Angeles: 5.9
Total Bases (L5)
+35.3% more
Toronto: 12.8
vs
Los Angeles: 8.3
Errors (L5)
+30.0% more
Toronto: 0.6
vs
Los Angeles: 0.3
Strikeouts (L5)
+15.7% more
Toronto: 8.6
vs
Los Angeles: 7.2
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
TOR Score
5.0
3
LAA Score
2.0
7
Team Stats Splits (Home / Away)
Errors
0.3 / 0.6
0.0 / 1.0
Hits
5.9 / 9.3
11.0 / 12.0
Home Runs
0.5 / 0.5
2.0 / 0.0
Strikeouts
7.2 / 8.6
9.0 / 8.0
Total Bases
8.3 / 12.8
19.0 / 14.0
Walks
3.4 / 2.4
1.0 / 5.0
Public Market Splits
Moneyline
Open: --
→
--
Spread (ATS)
Open: --
→
--
Total (O/U)
Open: --
→
--
Situational Trends
📊 Win-Loss
TOR
Advantage
79-83-0
(48.8%)
Margin: -0.3
ATS +/-:
LAA
62-100-0
(38.3%)
Margin: -0.6
ATS +/-:
🎯 ATS (Spread)
TOR
(46.9%)
Margin: -0.3
ATS +/-:
LAA
Advantage
(50.6%)
Margin: -0.6
ATS +/-:
⚖️ Over/Under
TOR
81-76-5
O: 51.6% / U: 48.4%
Total +/-: +0.3
LAA
71-88-3
O: 44.7% / U: 55.4%
Total +/-: +0.3
Season to Date Model Accuracy
AI Model
SIM Engine
LAA
TOR
LAA
TOR
ML
59%
96-66
46%
74-87
55%
89-73
50%
80-80
ATS
60%
97-65
56%
90-71
51%
82-80
49%
79-81
TTL
53%
83-74-5
51%
80-76-5
52%
82-75-5
45%
70-85-5
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