MIA vs COL prediction for June 29, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects COL 6.6 - MIA 5.9. COL is favored with a 57.8% win probability. The run line is 1.5 and the total is 11.5. Model projects 12.4 total runs.
COL
6.6
Projected Score
VS
O/U 11.5
MIA
5.9
Projected Score
Win Probability
COLMIA
+1.5
Run Line (COL)
11.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 59.0% (2,512 games)
Projected Runs Range 10th – 90th percentile
MIA
468
COL
579
Starting Pitcher Matchup
Sandy Alcantara R
MIA
SI24%97 mph8% whiff
CH23%91 mph28% whiff
FF19%98 mph15% whiff
R TBD
COL
Weather Impact
Coors Field
88°F16 mph wind
HR: 1.049 Total: 1.022
thin air, 15mph in
Bullpen Comparison
MIA
3.85ERA
3.56FIP
9.97K/9
4.48BB/9
1.21WHIP
COL
5.45ERA
4.65FIP
8.19K/9
4.48BB/9
1.58WHIP
Betting Edges
RUN_LINE AWAY -1.5
-25.6% EV
+106
ML AWAY
-21.3% EV
-133
ML HOME
+17.8% EV
+114
F5_ML AWAY
-16.6% EV
-141
TOTAL UNDER 11.5
-16.4% EV
-123
RUN_LINE HOME +1.5
-16.3% EV
-128
First 5 Innings & NRFI
MIA F5
3.2 runs
41.6% win
COL F5
3.5 runs
48.0% win
F5 Total
6.8
NRFI
41.8%
YRFI
58.2%
Avg 1st Inn Runs
1.47
HR Spotlight
Avg HRs
3.6
Over 0.5 HR
97%
Over 1.5 HR
86%
No HR
3%
Pitcher Strikeout Projections
Sandy Alcantara
0.0 K projected
MIA | K/9: 0.0
0.0 K projected
COL | K/9: 0.0
Injury Report
MIA8 injured
Liam Hicks C10-DAY-IL
Janson Junk SP15-DAY-IL
Josh Ekness RP60-DAY-IL
Thomas White SPDAY-TO-DAY
Andrew Nardi RP60-DAY-IL
Robby Snelling SP60-DAY-IL
+2 more
COL8 injured
Tanner Gordon RP15-DAY-IL
Jaden Hill RP15-DAY-IL
Chase Dollander SP60-DAY-IL
Brenton Doyle CF10-DAY-IL
Blas Castano RP15-DAY-IL
Welinton Herrera RP60-DAY-IL
+2 more
Edge Analysis
Moneyline
COL 57.8%
-16.3 pts
Run Line
+1.5
-16.3 pts
Total
11.5
+8.7 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 →