MLB Baseball

TOR vs SEA Prediction

July 3, 2026

10,000 Monte Carlo simulations

TOR vs SEA prediction for July 3, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects SEA 3.1 - TOR 3.4. TOR is favored with a 52.9% win probability. The run line is 1.5 and the total is 7.5. Model projects 6.5 total runs.

SEA
3.1
Projected Score
VS O/U 7.5
TOR
3.4
Projected Score
Win Probability
47.1%
52.9%
SEATOR
+1.5
Run Line (SEA)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 49.6% (2,758 games)

Projected Runs Range 10th – 90th percentile

TOR
135
SEA
135
FINALSEA 0 — TOR 2
Projected
SEA 3.1 — TOR 3.4
Actual
SEA 0 — TOR 2

Starting Pitcher Matchup

Dylan Cease R
TOR
FF35%98 mph26% whiff
SL30%89 mph42% whiff
CH11%84 mph64% whiff
Luis Castillo R
SEA
FF45%95 mph26% whiff
SL26%85 mph27% whiff
SI16%95 mph8% whiff

Weather Impact

T-Mobile Park
69°F6 mph windRoof: retractable
HR: 1.007 Total: 1.003
neutral

Bullpen Comparison

TOR
3.92ERA
3.64FIP
9.10K/9
3.46BB/9
1.29WHIP
SEA
3.37ERA
3.72FIP
8.85K/9
3.64BB/9
1.33WHIP

Betting Edges

RUN_LINE HOME +1.5
-38.2% EV
-169
TOTAL OVER 7.5
-17.5% EV
+102
F5_ML AWAY
-10.5% EV
-147
RUN_LINE AWAY -1.5
-7.2% EV
+140
TOTAL UNDER 7.5
+7.1% EV
-123
ML AWAY
-3.9% EV
-123

First 5 Innings & NRFI

TOR F5
1.8 runs
42.8% win
SEA F5
1.7 runs
39.4% win
F5 Total
3.4
NRFI
61.9%
YRFI
38.1%
Avg 1st Inn Runs
0.77

HR Spotlight

Avg HRs
1.6
Over 0.5 HR
80%
Over 1.5 HR
48%
No HR
20%

Pitcher Strikeout Projections

Dylan Cease
0.0 K projected
TOR | K/9: 0.0
Luis Castillo
0.0 K projected
SEA | K/9: 0.0

Injury Report

TOR8 injured
Max Scherzer SP15-DAY-IL
George Springer DHPATERNITY
Yimi Garcia RP60-DAY-IL
Addison Barger RF10-DAY-IL
Jesus Sanchez RF10-DAY-IL
Lenyn Sosa 2B10-DAY-IL
+2 more
SEA8 injured
Victor Robles RFDAY-TO-DAY
Julio Rodriguez CFDAY-TO-DAY
Brendan Donovan 3B10-DAY-IL
Rob Refsnyder DH10-DAY-IL
Carlos Vargas RP60-DAY-IL
Will Wilson 3B60-DAY-IL
+2 more

Edge Analysis

Moneyline
TOR 52.9%
-38.2 pts
Run Line
+1.5
-38.2 pts
Total
7.5
+7.1 pts
How this prediction was generated: This page shows output from the Olympus Bets MLB Baseball Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →

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