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TORONTO

BLUE JAYSTOR

68-49  |  Road

1
FINAL
Sat, Aug 9 • 9:10 PM ET
Dodger Stadium
View Odds Details →

LOS ANGELES

DODGERSLAD

67-49  |  Home

9
Probable Pitchers
Braydon Fisher
STARTING PITCHER

Braydon Fisher

#63 | Relief Pitcher
@
Jack Dreyer
STARTING PITCHER

Jack Dreyer

#86 | Relief Pitcher
Player W-L ERA WHIP IP K
Braydon Fisher None-None 2.27 -- 1.1 3
Jack Dreyer None-None 2.98 -- 2.0 2
None-None W-L None-None
2.27 Ldr ERA 2.98
-- WHIP --
1.1 IP (Innings Pitched) Ldr 2.0
3 Ldr K (Strikeouts) 2
AI Model Win Probability
BLUE JAYS
50%
📊
DODGERS
50%
BLUE JAYS --
DODGERS --
AI Model Projected Total
AI Projection
11.6
Projected
Book Total
--
Over / Under Line
Over 0 45%
Under 0 55%
AI Model Spread Expectation
AI Spread Proj
-0.3
LOS ANGELES
Book Spread
--
Book Line
▲ Edge: +0.3 points (Los Angeles)
Blue JaysTOR (-3.5) 0 DodgersLAD (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Blue Jays Cover

46.9%

Dodgers Cover

53.1%

+12+8+40-4-8-12
Distribution centered around LAD -0.3 expected margin.
Margin of Victory (LAD)

TOR By 1-2 runs

17.9%

TOR By 3-4 runs

12.7%

LAD By 1-2 runs

18.9%

LAD By 3-4 runs

14.5%

AI Model Projected Score
5.62
TORONTO
5.93
LOS ANGELES
Simulated Score
6
TORONTO
4
LOS ANGELES
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: -0.3
D
Sim Blue Jays (-0) Loss
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 11.6
D
Sim u0.0
Proj Total: 10.0
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
Toronto TOR
vs
Los Angeles LAD
162
Games Played
162
4.00
Runs / Game
▲ 4.94
.247
Avg (AVG)
▲ .257
.310
On-Base (OBP)
▲ .338
.381
Slugging (SLG)
▲ .424
.692
OPS
▲ .762
152
Home Runs
▲ 204
Key Model Drivers
Home Runs (Season) +34.2% more
Los Angeles: 204.0 vs Toronto: 152.0
Runs per Game (Season) +23.5% more
Los Angeles: 4.9 vs Toronto: 4.0
Strikeouts (L5) +14.5% more
Los Angeles: 9.2 vs Toronto: 8.0
OPS (Season) +7.0%
Los Angeles: 76.2% vs Toronto: 69.2%
Post-Mortem Analysis
Metric Projected Actual
Score Game
TOR Score 5.6 1
LAD Score 5.9 9
Team Stats Splits (Home / Away)
Errors 0.5 / 1.0 0.0 / 1.0
Hits 8.5 / 14.9 10.0 / 5.0
Home Runs 1.3 / 2.3 2.0 / 1.0
Strikeouts 9.2 / 8.0 14.0 / 8.0
Total Bases 14.4 / 25.6 18.0 / 10.0
Walks 2.0 / 3.6 5.0 / 5.0
Public Market Splits
Moneyline
Open: -- → --
28%TICKETS72%
41%MONEY59%
Spread (ATS)
Open: -- → --
60%TICKETS40%
32%MONEY68%
Total (O/U)
Open: -- → --
73%TICKETS27%
87%MONEY13%
Situational Trends
📊 Win-Loss
TOR
79-83-0 (48.8%)
Margin: -0.3 ATS +/-:
LAD Advantage
103-63-0 (62.1%)
Margin: 1.2 ATS +/-:
🎯 ATS (Spread)
TOR Advantage
(46.9%)
Margin: -0.3 ATS +/-:
LAD
(43.4%)
Margin: 1.2 ATS +/-:
⚖️ Over/Under
TOR
81-76-5
O: 51.6% / U: 48.4% Total +/-: +0.3
LAD
72-89-5
O: 44.7% / U: 55.3% Total +/-: 0.0
Season to Date Model Accuracy
AI Model
SIM Engine
LAD
TOR
LAD
TOR
ML
56% 92-73
46% 74-87
48% 79-87
50% 80-80
ATS
59% 98-67
56% 90-71
43% 72-94
49% 79-81
TTL
48% 77-82-6
51% 80-76-5
44% 70-90-6
45% 70-85-5
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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