Probable Pitchers
STARTING PITCHER
Shane Bieber
#57 | Starting Pitcher@
STARTING PITCHER
Ian Seymour
#61 | Starting Pitcher| Player | W-L | ERA | WHIP | IP | K |
|---|---|---|---|---|---|
| Shane Bieber | 4-2 | 4.99 | 1.56 | 48.2 | 37 |
| Ian Seymour | 9-3 | 4.11 | 1.13 | 96.1 | 115 |
4-2
W-L
9-3
4.99
ERA
Ldr 4.11
1.56
WHIP
Ldr 1.13
48.2
IP (Innings Pitched)
Ldr 96.1
37
K (Strikeouts)
Ldr 115
AI Model Win Probability
BLUE JAYS
60%
RAYS
40%
▲ Edge: +19.80% (TOR)
BLUE JAYS
40%
Book Odds: +150
RAYS
62%
Book Odds: -161
AI Model Projected Total
AI Projection
9.3
Projected
Book Total
7.0
Over / Under Line
▲
Edge: +2.3 (Over)
Over 7.0
72%
Under 7.0
28%
AI Model Spread Expectation
AI Spread Proj
-1.1
TORONTO
Book Spread
+1.5
Book Line
▲ Edge: +2.6 points (Toronto)
Spread Distribution
AI Model
-12-8-40+4+8+12
Distribution centered around TOR -1.1 expected margin.
Margin of Victory (TOR)
TOR By 1-2 runs
19.6%
TOR By 3-4 runs
16.6%
TB By 1-2 runs
16.1%
TB By 3-4 runs
10.3%
AI Model Projected Score
Toronto
5.2
TORONTO
Book Implied: 2.80
Tampa Bay
4.1
TAMPA BAY
Book Implied: 4.20
Simulated Score
Toronto
3
TORONTO
Book Implied: 2.80
Tampa Bay
5
TAMPA BAY
Book Implied: 4.20
Projections Grades
Moneyline (ML)
Divergence
👑 Top Selection
AI
Blue Jays
Win
60% Win Prob
B
Sim
Rays
Loss
69% Win Prob
B
Run Line (ATS)
Divergence
AI
Blue Jays (+1.5)
Win
Proj Runs: -1.1
A
Sim
Rays (-1.5)
Loss
Proj Runs: -2.0
C
Over/Under (Total)
Agreement
👑 Top Selection
AI
o7.0
Loss
Proj Total: 9.3
A
Sim
o7.0
Loss
Proj Total: 8.0
A
Head-to-Head History
Date
Game
Score
Aug 20, 2026
TOR @ TB
5 - 1
Aug 19, 2026
TOR @ TB
6 - 7
Aug 18, 2026
TOR @ TB
10 - 5
Jul 23, 2026
TB @ TOR
1 - 3
Jul 22, 2026
TB @ TOR
4 - 2
Season Statistics Comparison
Toronto
TOR
vs
Tampa Bay
TB
162
Games Played
162
4.00
Runs / Game
▲
4.54
.247
Avg (AVG)
▲
.258
.310
On-Base (OBP)
▲
.326
.381
Slugging (SLG)
▲
.402
.692
OPS
▲
.728
152
Home Runs
▲
169
Key Model Drivers
Errors (L5)
+63.0% more
Tampa Bay: 0.7
vs
Toronto: 0.1
Runs per Game (Season)
+13.5% more
Tampa Bay: 4.5
vs
Toronto: 4.0
Home Runs (Season)
+11.2% more
Tampa Bay: 169.0
vs
Toronto: 152.0
OPS (Season)
+3.6%
Tampa Bay: 72.8%
vs
Toronto: 69.2%
Post-Mortem Analysis
Metric
Projected
Actual
Score Game
TOR Score
5.2
5
TB Score
4.1
1
Team Stats Splits (Home / Away)
Errors
0.7 / 0.1
1.0 / 1.0
Hits
10.4 / 10.3
5.0 / 12.0
Home Runs
1.1 / 1.1
0.0 / 3.0
Strikeouts
6.8 / 6.8
8.0 / 12.0
Total Bases
15.1 / 15.3
5.0 / 23.0
Walks
2.7 / 2.8
1.0 / 3.0
Public Market Splits
Moneyline
Open: +144 / -175
→
+150 / -161
↓
Spread (ATS)
Open: +1.5 / -1.5
→
+1.5 / -1.5
Total (O/U)
Open: 8
→
7
↓
Situational Trends
📊 Win-Loss
TOR
79-83-0
(48.8%)
Margin: -0.3
ATS +/-:
TB
Advantage
101-64-0
(61.2%)
Margin: 0.6
ATS +/-:
🎯 ATS (Spread)
TOR
(46.9%)
Margin: -0.3
ATS +/-:
TB
Advantage
(53.3%)
Margin: 0.6
ATS +/-:
⚖️ Over/Under
TOR
81-76-5
O: 51.6% / U: 48.4%
Total +/-: +0.3
TB
76-83-6
O: 47.8% / U: 52.2%
Total +/-: +0.6
Season to Date Model Accuracy
AI Model
SIM Engine
TB
TOR
TB
TOR
ML
58%
95-68
46%
74-87
58%
95-68
50%
80-80
ATS
60%
97-66
56%
90-71
55%
90-73
49%
79-81
TTL
47%
73-81-9
51%
80-76-5
51%
78-75-10
45%
70-85-5