MLB Baseball

MIA vs HOU Prediction

July 22, 2026

10,000 Monte Carlo simulations

MIA vs HOU prediction for July 22, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects HOU 3.8 - MIA 6.3. MIA is favored with a 57.2% win probability. The run line is 1.5 and the total is 8.5. Model projects 10.1 total runs.

HOU
3.8
Projected Score
VS O/U 8.5
MIA
6.3
Projected Score
Win Probability
42.8%
57.2%
HOUMIA
+1.5
Run Line (HOU)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 57.0% (2,978 games)

Projected Runs Range 10th – 90th percentile

MIA
468
HOU
246
FINALHOU 5 — MIA 2
Projected
HOU 3.8 — MIA 6.3
Actual
HOU 5 — MIA 2

Starting Pitcher Matchup

Sandy Alcantara R
MIA
SI26% · 97
CH21% · 91
FF19% · 98
usagewhiffbar labels show usage · mph
SI26%97 mph9% whiff
CH21%91 mph27% whiff
FF19%98 mph17% whiff
Peter Lambert R
HOU
FF31% · 94
CH22% · 87
SL16% · 86
usagewhiffbar labels show usage · mph
FF31%94 mph20% whiff
CH22%87 mph34% whiff
SL16%86 mph26% whiff

Weather Impact

Daikin Park
96°F4 mph windRoof: retractable
HR: 1.032 Total: 1.015
thin air

Bullpen Comparison

MIA
3.85ERA
3.56FIP
9.97K/9
4.48BB/9
1.21WHIP
HOU
4.13ERA
4.29FIP
8.50K/9
4.68BB/9
1.32WHIP

Betting Edges

🔒
Edge Analysis
Available to premium members
Unlock

First 5 Innings & NRFI

MIA F5
3.4 runs
58.9% win
HOU F5
1.9 runs
27.8% win
F5 Total
5.4
NRFI
51.5%
YRFI
48.5%
Avg 1st Inn Runs
1.12

HR Spotlight

🔒
Home Run Analysis
Available to premium members
Unlock

Injury Report

MIA8 injured
Max Meyer SP15-DAY-IL
Ronny Henriquez RP60-DAY-IL
Anthony Bender RP15-DAY-IL
William Kempner RP15-DAY-IL
Owen Caissie RF10-DAY-IL
John King RP15-DAY-IL
+2 more
HOU5 injured
Brice Matthews CF10-DAY-IL
Mike Burrows SP15-DAY-IL
Hayden Wesneski SP60-DAY-IL
Brandon Walter SP60-DAY-IL
Carlos Correa SS60-DAY-IL

Model Edge & Sizing

🔒The model's edge against the market, and the stake it sizes for this matchup, are premium.Unlock

Edge Analysis

🔒
Edge Analysis
Available to premium members
Unlock
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.