MLB Baseball

KC vs CWS Prediction

June 26, 2026

10,000 Monte Carlo simulations

KC vs CWS prediction for June 26, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects CWS 4.5 - KC 4.8. KC is favored with a 50.6% win probability. The run line is -1.5 and the total is 8.5. Model projects 9.3 total runs.

CWS
4.5
Projected Score
VS O/U 8.5
KC
4.8
Projected Score
Win Probability
49.4%
50.6%
CWSKC
-1.5
Run Line (CWS)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 54.0% (2,443 games)

Projected Runs Range 10th – 90th percentile

KC
357
CWS
346

Weather Impact

Guaranteed Rate Field
66°F7 mph wind
HR: 1.057 Total: 1.031
6mph out

Bullpen Comparison

KC
4.34ERA
5.00FIP
8.61K/9
4.51BB/9
1.45WHIP
CWS
4.29ERA
4.67FIP
8.64K/9
4.97BB/9
1.34WHIP

Betting Edges

RUN_LINE AWAY +1.5
-34.7% EV
-208
TOTAL UNDER 8.5
-12.0% EV
-122
ML HOME
-11.6% EV
-133
RUN_LINE HOME -1.5
-7.1% EV
+172
ML AWAY
+5.9% EV
+114
TOTAL OVER 8.5
+3.2% EV
+100

First 5 Innings & NRFI

KC F5
2.5 runs
42.3% win
CWS F5
2.5 runs
42.6% win
F5 Total
5.0
NRFI
55.1%
YRFI
44.9%
Avg 1st Inn Runs
0.94

HR Spotlight

Avg HRs
2.1
Over 0.5 HR
88%
Over 1.5 HR
63%
No HR
12%

Pitcher Strikeout Projections

0.0 K projected
KC | K/9: 0.0
0.0 K projected
CWS | K/9: 0.0

Injury Report

KC8 injured
Bobby Witt Jr. SSDAY-TO-DAY
Stephen Kolek SPDAY-TO-DAY
Carlos Estevez RP60-DAY-IL
Nick Mears RP15-DAY-IL
Kris Bubic SP15-DAY-IL
Cole Ragans SP60-DAY-IL
+2 more
CWSHealthy

AI Intelligence Analysis

Both Pitchers TBD = Automatic Lottery Ticket
YELLOW ZONE42.5% WR (n=10)

KC and CWS both have TBD starting pitchers. Model projects KC 50.6% away vs CWS 49.4% home at -133 (57.1% implied). That's supposed to be a 5.9% edge on KC. But this is pure noise without starter confirmation. Don't guess. Wait for lineups.

TBD PITCHERSPLIT SQUAD
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Edge Analysis

Moneyline
KC 50.6%
-7.1 pts
Run Line
-1.5
-7.1 pts
Total
8.5
+3.2 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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