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TORONTO

BLUE JAYSTOR

68-48  |  Road

1
FINAL
Fri, Aug 8 • 10:10 PM ET
Dodger Stadium
View Odds Details →

LOS ANGELES

DODGERSLAD

66-49  |  Home

5
Probable Pitchers
Mason Fluharty
STARTING PITCHER

Mason Fluharty

#68 | Relief Pitcher
@
Andy Pages
STARTING PITCHER

Andy Pages

#44 | Center Field
Player W-L ERA WHIP IP K
Mason Fluharty None-None 5.23 -- 1.0 1
Andy Pages None-None -- -- -- --
None-None W-L None-None
5.23 ERA --
-- WHIP --
1.0 IP (Innings Pitched) --
1 K (Strikeouts) --
AI Model Win Probability
BLUE JAYS
51%
📊
DODGERS
49%
BLUE JAYS --
DODGERS --
AI Model Projected Total
AI Projection
11.4
Projected
Book Total
--
Over / Under Line
Over 0 47%
Under 0 53%
AI Model Spread Expectation
AI Spread Proj
-0.4
TORONTO
Book Spread
--
Book Line
▲ Edge: +0.4 points (Toronto)
Blue JaysTOR (-3.5) 0 DodgersLAD (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Blue Jays Cover

53.6%

Dodgers Cover

46.4%

-12-8-40+4+8+12
Distribution centered around TOR -0.4 expected margin.
Margin of Victory (TOR)

TOR By 1-2 runs

19.0%

TOR By 3-4 runs

14.6%

LAD By 1-2 runs

17.8%

LAD By 3-4 runs

12.5%

AI Model Projected Score
5.86
TORONTO
5.5
LOS ANGELES
Simulated Score
4
TORONTO
6
LOS ANGELES
Projections Grades
Moneyline (ML)
Divergence
AI Blue Jays Loss
51% Win Prob
D
Sim Dodgers Win
50% Win Prob
D
Run Line (ATS)
Divergence
AI Blue Jays (-0) Loss
Proj Runs: -0.4
C
Sim Dodgers (+0) Win
Proj Runs: -2.0
D
Over/Under (Total)
No Consensus
AI o0 Win
Proj Total: 11.4
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 (L5) +56.6% more
Toronto: 3.5 vs Los Angeles: 1.5
Total Bases (L5) +50.3% more
Toronto: 32.4 vs Los Angeles: 16.1
Errors (L5) +48.6% more
Toronto: 1.4 vs Los Angeles: 0.7
Hits (L5) +47.0% more
Toronto: 17.4 vs Los Angeles: 9.2
Post-Mortem Analysis
Metric Projected Actual
Score Game
TOR Score 5.9 1
LAD Score 5.5 5
Team Stats Splits (Home / Away)
Errors 0.7 / 1.4 0.0 / 0.0
Hits 9.2 / 17.4 7.0 / 10.0
Home Runs 1.5 / 3.5 1.0 / 0.0
Strikeouts 10.3 / 8.5 7.0 / 7.0
Total Bases 16.1 / 32.4 11.0 / 12.0
Walks 2.5 / 2.3 1.0 / 6.0
Public Market Splits
Moneyline
Open: -- → --
42%TICKETS58%
53%MONEY47%
Spread (ATS)
Open: -- → --
74%TICKETS26%
76%MONEY24%
Total (O/U)
Open: -- → --
61%TICKETS39%
72%MONEY28%
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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