MLB Baseball

TOR vs BAL Prediction

May 28, 2026

10,000 Monte Carlo simulations

TOR vs BAL prediction for May 28, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects BAL 5.0 - TOR 3.2. BAL is favored with a 69.1% win probability. The run line is -1.5 and the total is 8.5. Model projects 8.2 total runs.

BAL
5.0
Projected Score
VS O/U 8.5
TOR
3.2
Projected Score
Win Probability
69.1%
30.9%
BALTOR
-1.5
Run Line (BAL)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 67.3% (2,300 games)

Projected Runs Range 10th – 90th percentile

TOR
135
BAL
357
FINALBAL 1 — TOR 2
Projected
BAL 5.0 — TOR 3.2
Actual
BAL 1 — TOR 2

Starting Pitcher Matchup

Patrick Corbin L
TOR
SI31%91 mph3% whiff
SL25%79 mph38% whiff
FC19%86 mph11% whiff
Chris Bassitt R
BAL
SI36%92 mph13% whiff
CU25%71 mph30% whiff
FC22%89 mph18% whiff

Weather Impact

Oriole Park at Camden Yards
72°F10 mph wind
HR: 1.021 Total: 1.011
neutral

Bullpen Comparison

TOR
3.42ERA
3.19FIP
10.07K/9
3.47BB/9
1.27WHIP
BAL
4.28ERA
3.92FIP
9.20K/9
3.74BB/9
1.30WHIP

Betting Edges

RUN_LINE AWAY +1.5
-54.4% EV
-196
F5_ML AWAY
-36.1% EV
+106
ML AWAY
-29.7% EV
+108
RUN_LINE HOME -1.5
+26.4% EV
+162
F5_ML HOME
+21.4% EV
-132
ML HOME
+18.5% EV
-127

First 5 Innings & NRFI

TOR F5
1.4 runs
22.0% win
BAL F5
2.9 runs
62.3% win
F5 Total
4.3
NRFI
61.3%
YRFI
38.7%
Avg 1st Inn Runs
0.78

HR Spotlight

Avg HRs
2.0
Over 0.5 HR
86%
Over 1.5 HR
58%
No HR
14%
Adley Rutschman BAL30.0%
ISO: 0.222 | Barrel: 12.9% | vs Patrick Corbin | Park: 1.03x Platoon: 1.12x
Coby Mayo BAL29.6%
ISO: 0.293 | Barrel: 7.3% | vs Patrick Corbin | Park: 1.03x Platoon: 1.12x
Gunnar Henderson BAL29.3%
ISO: 0.262 | Barrel: 9.8% | vs Patrick Corbin | Park: 1.03x

Pitcher Strikeout Projections

Patrick Corbin
0.0 K projected
TOR | K/9: 0.0
Chris Bassitt
0.0 K projected
BAL | K/9: 0.0

Injury Report

TOR8 injured
Joe Mantiply RP15-DAY-IL
Max Scherzer SP15-DAY-IL
Lazaro Estrada RP60-DAY-IL
Lenyn Sosa 2B10-DAY-IL
Jose Berrios SP60-DAY-IL
Alejandro Kirk C60-DAY-IL
+2 more
BAL8 injured
Levi Wells PDAY-TO-DAY
Yennier Cano RPDAY-TO-DAY
Dylan Beavers RF10-DAY-IL
Cade Povich SP15-DAY-IL
Colin Selby RP60-DAY-IL
Ryan Mountcastle 1B60-DAY-IL
+2 more

AI Intelligence Analysis

STRONG BET +2YELLOW ZONE56.6% WR (n=166)
BAL home favorite with 18.5% edge (66.2% win prob) creates a STRONG BET opportunity. Pitcher mismatch is EXTREME: Chris Bassitt (6.5 K/9, C+ grade) vs Patrick Corbin (6.5 K/9 but C+ overall grade, worse command). Both mediocre arms, but Bassitt home turf + massive run differential (5.0 mean home vs 3.2 away) = 1.8 run edge. Home favorite zone strong (56.6% WR, n=166). Market pricing TOR as -115 favorite suggests mispricing. BET BAL ML.

Key Factors

  • Pitcher advantage BAL: Bassitt 2.20 ERA equivalent (C+ grade 0.379 score) vs Corbin TBD (0.326 score, slightly worse). Home field matters on marginal arms
  • Run scoring model: BAL projects 5.0 mean vs TOR 3.2 mean = 1.8 run edge. This is outsized for intermediate-quality arms
  • Home favorite zone: MLB|ml|home (56.6% WR) is profitable. BAL is home, market shows they're -126 (correct direction)
  • F5 ML shows massive 21.4% edge for BAL (69.0% prob) — early-inning dominance likely
  • NRFI edge 5.5% for BAL (58.0% prob) — bullpen strength or starter control in first frame

Risk Factors

  • Edge of 18.5% is in HIGH_EDGE_WARNING territory (model shows 38.1% WR on 15%+ edges historically). Cap conviction accordingly
  • Both Bassitt and Corbin are C+/C overall grades—neither is dominant. If TOR lineup is hot, scoring could exceed model
  • TOR has injured Kirk (IL), limiting catching depth but not affecting SP directly
HOME FAVORITE ZONEPITCHER ADVANTAGE BASSITTRUN DIFF CONFIRMEDHIGH EDGE WARNINGF5 SUPPORTNRFI SUPPORT

Edge Analysis

Moneyline
BAL 69.1%
+26.4 pts
Run Line
-1.5
+26.4 pts
Total
8.5
+1.9 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. Full methodology →

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