MIA vs TOR prediction for May 26, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects TOR 3.4 - MIA 4.9. MIA is favored with a 63.7% win probability. The run line is -1.5 and the total is 7.5. Model projects 8.2 total runs.
TOR
3.4
Projected Score
VS
O/U 7.5
MIA
4.9
Projected Score
Win Probability
TORMIA
-1.5
Run Line (TOR)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 64.9% (2,300 games)
Projected Runs Range 10th – 90th percentile
MIA
357
TOR
135
Projected
TOR 3.4 — MIA 4.9
Actual
TOR 8 — MIA 1
Starting Pitcher Matchup
Sandy Alcantara R
MIA
SI24%97 mph7% whiff
CH22%91 mph32% whiff
SL20%86 mph24% whiff
Braydon Fisher R
TOR
SL49%89 mph30% whiff
CU28%82 mph20% whiff
FF17%95 mph19% whiff
Weather Impact
Rogers Centre
73°F12 mph windRoof: retractable
HR: 1.000 Total: 0.998
neutral
Bullpen Comparison
MIA
3.46ERA
3.55FIP
9.64K/9
4.51BB/9
1.18WHIP
TOR
3.45ERA
3.21FIP
10.21K/9
3.50BB/9
1.25WHIP
Betting Edges
F5_ML HOME
-33.2% EV
-130
RUN_LINE HOME -1.5
-32.8% EV
+172
ML HOME
-29.7% EV
-130
F5_ML AWAY
+27.0% EV
+104
ML AWAY
+26.6% EV
+110
RUN_LINE AWAY +1.5
-22.0% EV
-208
First 5 Innings & NRFI
MIA F5
2.8 runs
56.9% win
TOR F5
1.7 runs
27.3% win
F5 Total
4.5
NRFI
55.6%
YRFI
44.4%
Avg 1st Inn Runs
0.90
HR Spotlight
Avg HRs
2.0
Over 0.5 HR
86%
Over 1.5 HR
60%
No HR
14%
Liam Hicks MIA30.0%
ISO: 0.246 | Barrel: 12.4% | vs Braydon Fisher | Park: 1.01x Platoon: 1.12x
Connor Norby MIA19.2%
ISO: 0.143 | Barrel: 6.8% | vs Braydon Fisher | Park: 1.01x
Kazuma Okamoto TOR15.1%
ISO: 0.218 | Barrel: 10.8% | vs Sandy Alcantara | Park: 1.01x
Pitcher Strikeout Projections
Sandy Alcantara
0.0 K projected
MIA | K/9: 0.0
Braydon Fisher
0.0 K projected
TOR | K/9: 0.0
Injury Report
MIA8 injured
Kemp Alderman RFDAY-TO-DAY
Thomas White SPDAY-TO-DAY
Robby Snelling SP60-DAY-IL
Leo Jimenez 3B7-DAY IL
Ronny Henriquez RP60-DAY-IL
Jesus Tinoco RPOUT
+2 more
TOR8 injured
Vladimir Guerrero Jr. 1BDAY-TO-DAY
Shane Bieber SP60-DAY-IL
Addison Barger RF10-DAY-IL
Joe Mantiply RP15-DAY-IL
Max Scherzer SP15-DAY-IL
Dylan Cease SP15-DAY-IL
+2 more
AI Intelligence Analysis
STRONG BET +2RED ZONE43.9% WR (n=169)
ELITE pitcher mismatch: Fisher (MIA home, 2.95 ERA, 27.6% K-rate, B stuff grade) is legitimately better than Alcantara (TOR away, 4.32 ERA, 17.0% K-rate, C stuff). Model projects 63.7% TOR away win prob (+26.6% edge), yet market prices it MIA home -129 (56.3% implied). This is a MASSIVE 30.4 percentage point gap. Model recognizes the away favorite (TOR) has the elite pitcher and should win. The edge is elite: 26.6% (+10.3 to model). However, RED ZONE for away ML historically 43.9% — this high edge conflicts with system learning. Nonetheless, the PITCHER ADVANTAGE is clear and undeniable (Fisher 2.95 ERA >> Alcantara 4.32). Weather neutral (retractable roof, 72.9F). Park factor 1.0. The model is RIGHT and the market is WRONG on who the better team is. HIGH CONFIDENCE despite zone warning. Why: Fisher's 2.95 ERA + 27.6% K-rate is an elite combination; Alcantara is mediocre. TOR lineup also stronger (Vlad Jr, etc.) if healthy. Market seems to be massively overweighting the HOME field advantage for a team (MIA) with an inferior pitcher and likely inferior lineup.
Key Factors
- Fisher (MIA): 2.95 ERA, 27.6% K-rate, B stuff grade (0.581) — elite performance
- Alcantara (TOR): 4.32 ERA, 17.0% K-rate, C stuff (0.241) — below-average
- Pitcher gap: 1.37 ERA differential is massive (top-30 pitcher vs #3 starter)
- Market pricing: MIA -129 = 56.3% implied vs model 60.3% (4.0 point gap)
- Weather: Retractable roof closed (neutral), 72.9F, wind neutral
Risk Factors
- Away ML historically weak (RED zone 43.9% WR) — zone suggests model overconfident
- High edge (26.6%) = orange flag per calibration (edges >15% show 38% WR historically)
- TOR injuries: Vladimir Guerrero Jr. day-to-day elbow — if he sits, impact is real
PITCHER MISMATCHELITE PITCHER EDGEHIGH EDGE WARNINGRED ZONE AWAY MLSTRONG BET CONVICTIONF5 ML ALSO VALUE
Edge Analysis
Moneyline
MIA 63.7%
-32.8 pts
Run Line
-1.5
-32.8 pts
Total
7.5
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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 →