MLB Baseball

TB vs TOR Prediction

July 20, 2026

10,000 Monte Carlo simulations

TB vs TOR prediction for July 20, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects TOR 4.9 - TB 5.2. TOR is favored with a 50.3% win probability. The run line is -1.5 and the total is 7.5. Model projects 10.0 total runs.

TOR
4.9
Projected Score
VS O/U 7.5
TB
5.2
Projected Score
Win Probability
50.3%
49.7%
TORTB
-1.5
Run Line (TOR)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 49.7% (2,956 games)

Projected Runs Range 10th – 90th percentile

TB
357
TOR
357
FINALTOR 1 — TB 7
Projected
TOR 4.9 — TB 5.2
Actual
TOR 1 — TB 7

Starting Pitcher Matchup

Nick Martinez R
TB
SI30% · 92
CH28% · 78
FC21% · 89
usagewhiffbar labels show usage · mph
SI30%92 mph7% whiff
CH28%78 mph32% whiff
FC21%89 mph13% whiff
Dylan Cease R
TOR
FF36% · 98
SL29% · 89
CH12% · 84
usagewhiffbar labels show usage · mph
FF36%98 mph25% whiff
SL29%89 mph41% whiff
CH12%84 mph54% whiff

Weather Impact

Rogers Centre
75°F14 mph windRoof: retractable
HR: 1.100 Total: 1.056
14mph out

Bullpen Comparison

TB
4.35ERA
4.16FIP
8.55K/9
3.50BB/9
1.33WHIP
TOR
3.92ERA
3.64FIP
9.10K/9
3.46BB/9
1.29WHIP

Betting Edges

🔒
Edge Analysis
Available to premium members
Unlock

First 5 Innings & NRFI

TB F5
2.8 runs
45.2% win
TOR F5
2.5 runs
41.1% win
F5 Total
5.3
NRFI
55.5%
YRFI
44.5%
Avg 1st Inn Runs
1.01

HR Spotlight

🔒
Home Run Analysis
Available to premium members
Unlock

Injury Report

TB8 injured
Jesse Scholtens RP15-DAY-IL
Gavin Lux LF60-DAY-IL
Jake Fraley RF10-DAY-IL
Steven Wilson RP60-DAY-IL
Steven Matz SP15-DAY-IL
Edwin Uceta RP60-DAY-IL
+2 more
TOR8 injured
Max Scherzer SP15-DAY-IL
Lenyn Sosa 2B10-DAY-IL
Addison Barger RF10-DAY-IL
Anthony Santander RF60-DAY-IL
Jesus Sanchez RF10-DAY-IL
Yimi Garcia RP60-DAY-IL
+2 more

AI Intelligence Analysis

LEAN +1
Market is overloaded on TOR at -163 (62% implied) despite model favoring TB at 49.7% away win prob. Dylan Cease (13.6 K/9, A- stuff, C+ command) is elite strikeout SP but erratic (0.909 overall score vs Nick Martinez's 0.409). Martinez is depth arm (5.4 K/9) — massive mismatch favors TOR but market IS pricing this. Tab the 9.4% ML edge (TB away) as mispriced by market overweighting Cease Elite brand vs Martinez control limits. 14mph tail wind at Rogers Centre adds 1.06x total multiplier.

Key Factors

  • Pitcher ERA mismatch: Cease has elite K-rate (13.6 K/9, 0.909 overall score) vs Martinez (5.4 K/9, 0.409 score) = Cease is B+ arm, Martinez is C+ at best
  • BUT market priced this: TOR -163 (62% implied) already reflects Cease dominance. Model only gives TB 46% win prob but market only 42% — market is slightly sharper HERE
  • Rogers Centre retractable roof closed, 14 mph tailwind creates 1.056x total multiplier on baseline. Model total 10.04 is elevated relative to market 7.5
  • Market-model conflict: Model favors TOR implied (54% home win prob) but prices TOR at 62% implied. Market is stronger on TOR than model. This suggests SKIP or fade model
  • F5 ML shows 19.9% edge on AWAY (+102 money) and 21.1% edge AGAINST home (both large). This suggests market miscalibration on rate of Cease dominance in first 5

Risk Factors

  • Away ML in <50% prob bucket shows only 44% historical WR (zone data). This is precisely the zone that fails most often
  • Market-model conflict unresolved: Why does model say 46% TB win but market say 42%? Likely market is correct (sharper); model overestimates TB at Cease's K rate
  • Combo zone (away ML) is RED at 44.3% WR across 107 tracked bets — this is a trap zone historically
MODEL MARKET CONFLICTPITCHER MISMATCHWEATHER IMPACTPARK FACTOR

Edge Analysis

Moneyline
TOR 50.3%
-13.8 pts
Run Line
-1.5
-13.8 pts
Total
7.5
+22.5 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 →

Want Premium Predictions?

Get full access to all picks, detailed game-by-game analysis, and Kelly-optimized unit sizing across 9 leagues.

Go Premium Free Picks

Free picks in your inbox every morning

The same free projections published here — Monte Carlo simulated, Kelly sized, delivered daily. Free forever. Unsubscribe anytime.