CWS vs TOR prediction for July 17, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects TOR 5.2 - CWS 4.2. TOR is favored with a 56.4% win probability. The run line is -1.5 and the total is 8.5. Model projects 9.4 total runs.
TOR
5.2
Projected Score
VS
O/U 8.5
CWS
4.2
Projected Score
Win Probability
TORCWS
-1.5
Run Line (TOR)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 56.6% (2,790 games)
Projected Runs Range 10th – 90th percentile
CWS
246
TOR
357
Starting Pitcher Matchup
Anthony Kay L
CWS
FF24%96 mph15% whiff
ST22%83 mph36% whiff
SI18%95 mph15% whiff
Spencer Miles R
TOR
SI41%96 mph14% whiff
CU26%81 mph21% whiff
SL17%87 mph22% whiff
Weather Impact
Rogers Centre
73°F5 mph windRoof: retractable
HR: 1.050 Total: 1.027
neutral
Bullpen Comparison
CWS
4.29ERA
4.67FIP
8.64K/9
4.97BB/9
1.34WHIP
TOR
3.92ERA
3.64FIP
9.10K/9
3.46BB/9
1.29WHIP
Betting Edges
RUN_LINE AWAY +1.5
-42.5% EV
-179
TOTAL UNDER 8.5
-15.1% EV
-106
F5_ML AWAY
-14.3% EV
+114
RUN_LINE HOME -1.5
+9.0% EV
+146
TOTAL OVER 8.5
+5.7% EV
-114
ML AWAY
-5.7% EV
+114
First 5 Innings & NRFI
CWS F5
2.2 runs
33.2% win
TOR F5
3.1 runs
52.4% win
F5 Total
5.4
NRFI
53.7%
YRFI
46.3%
Avg 1st Inn Runs
1.03
HR Spotlight
Avg HRs
1.9
Over 0.5 HR
84%
Over 1.5 HR
55%
No HR
16%
Pitcher Strikeout Projections
Anthony Kay
0.0 K projected
CWS | K/9: 0.0
Spencer Miles
0.0 K projected
TOR | K/9: 0.0
Injury Report
CWSHealthy
TOR8 injured
Jesus Sanchez RF10-DAY-IL
Yimi Garcia RP60-DAY-IL
Max Scherzer SP15-DAY-IL
Addison Barger RF10-DAY-IL
Lenyn Sosa 2B10-DAY-IL
Anthony Santander RF60-DAY-IL
+2 more
AI Intelligence Analysis
Edge Analysis
Moneyline
TOR 56.4%
+9.0 pts
Run Line
-1.5
+9.0 pts
Total
8.5
+5.7 pts
More Projections Today
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 →