MLB Baseball

KC vs DET Prediction

July 27, 2026

10,000 Monte Carlo simulations

KC vs DET prediction for July 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects DET 3.9 - KC 3.2. DET is favored with a 54.6% win probability. The run line is -1.5 and the total is 9.0. Model projects 7.1 total runs.

DET
3.9
Projected Score
VS O/U 9.0
KC
3.2
Projected Score
Win Probability
54.6%
45.4%
DETKC
-1.5
Run Line (DET)
9.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 55.5% (2,930 games)

Projected Runs Range 10th – 90th percentile

KC
135
DET
246

Starting Pitcher Matchup

Luinder Avila R
KC
SI27% · 96
FF26% · 96
SL21% · 88
usagewhiffbar labels show usage · mph
SI27%96 mph17% whiff
FF26%96 mph15% whiff
SL21%88 mph32% whiff
Framber Valdez L
DET
SI46% · 94
CU28% · 78
CH20% · 89
usagewhiffbar labels show usage · mph
SI46%94 mph9% whiff
CU28%78 mph29% whiff
CH20%89 mph22% whiff

Weather Impact

Comerica Park
78°F6 mph wind
HR: 1.035 Total: 1.017
thin air

Bullpen Comparison

KC
4.34ERA
5.00FIP
8.61K/9
4.51BB/9
1.45WHIP
DET
4.22ERA
4.23FIP
8.86K/9
4.10BB/9
1.37WHIP

Betting Edges

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Edge Analysis
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First 5 Innings & NRFI

KC F5
1.6 runs
33.6% win
DET F5
2.2 runs
48.2% win
F5 Total
3.9
NRFI
60.3%
YRFI
39.7%
Avg 1st Inn Runs
0.79

HR Spotlight

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Home Run Analysis
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Injury Report

KC8 injured
Kris Bubic SP60-DAY-IL
Kyle Isbel CF10-DAY-IL
Stephen Kolek SP60-DAY-IL
Bobby Witt Jr. SS10-DAY-IL
Maikel Garcia 3B10-DAY-IL
Carlos Estevez RP60-DAY-IL
+2 more
DET8 injured
Javier Baez SS60-DAY-IL
Burch Smith RP60-DAY-IL
Jack Flaherty SP15-DAY-IL
Jackson Jobe SP60-DAY-IL
Will Vest RP60-DAY-IL
Bailey Horn RP60-DAY-IL
+2 more

Edge Analysis

Moneyline
DET 54.6%
-11.3 pts
Run Line
-1.5
-11.3 pts
Total
9.0
+28.5 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 →

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