CWS vs KC prediction for April 11, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects KC 2.8 - CWS 3.2. CWS is favored with a 54.1% win probability. The run line is -1.5 and the total is 9.5. Model projects 6.0 total runs.
KC
2.8
Projected Score
VS
O/U 9.5
CWS
3.2
Projected Score
Win Probability
KCCWS
-1.5
Run Line (KC)
9.5
Total Line
10,000
Simulations
CWS W5KC L5
Calibrated accuracy at this confidence: 53.6% (2,040 games)
Projected Runs Range 10th – 90th percentile
CWS
135
KC
135
Pick Results
Kyle Isbel OVER 0.5 Strikeoutsbatter_ksLOSS-1.00u
Vinnie Pasquantino OVER 0.5 Strikeoutsbatter_ksWIN+1.10u
Michael Wacha OVER 5.5 Ksk_propsWIN+3.50u
Carter Jensen OVER 0.5 Hitsbatter_hitsLOSS-2.00u
Starting Pitcher Matchup
Erick Fedde R
CWS
SI33%93 mph8% whiff
FC28%90 mph19% whiff
ST26%82 mph24% whiff
Michael Wacha R
KC
FF32%93 mph24% whiff
CH21%80 mph28% whiff
FC21%89 mph23% whiff
Weather Impact
Kauffman Stadium
71°F10 mph wind
HR: 1.029 Total: 1.014
thin air
Bullpen Comparison
CWS
5.69ERA
4.93FIP
8.98K/9
6.41BB/9
1.73WHIP
KC
4.92ERA
4.95FIP
9.66K/9
5.34BB/9
1.45WHIP
Betting Edges
TOTAL OVER 9.5
-53.5% EV
+100
TOTAL UNDER 9.5
+42.0% EV
-122
F5 UNDER 5.5
+35.7% EV
-139
RUN_LINE HOME -1.5
-34.2% EV
+104
ML AWAY
+30.4% EV
+160
F5_ML AWAY
+28.5% EV
+146
First 5 Innings & NRFI
CWS F5
1.6 runs
42.7% win
KC F5
1.3 runs
33.5% win
F5 Total
2.9
NRFI
69.3%
YRFI
30.7%
Avg 1st Inn Runs
0.56
HR Spotlight
Avg HRs
1.7
Over 0.5 HR
82%
Over 1.5 HR
51%
No HR
18%
Carter Jensen KC41.8%
ISO: 0.200 | Barrel: 20.0% | vs Erick Fedde | Park: 0.96x Platoon: 1.12x
Munetaka Murakami CWS28.8%
ISO: 0.257 | Barrel: 15.3% | vs Michael Wacha | Park: 0.96x Platoon: 1.12x
Salvador Perez KC21.5%
ISO: 0.223 | Barrel: 7.9% | vs Erick Fedde | Park: 0.96x
Pitcher Strikeout Projections
Erick Fedde
0.0 K projected
CWS | K/9: 0.0
Michael Wacha
0.0 K projected
KC | K/9: 0.0
Injury Report
CWSHealthy
KC8 injured
Tyson Guerrero RPDAY-TO-DAY
Anthony Simonelli SPDAY-TO-DAY
Javier Vaz 2BDAY-TO-DAY
Carlos Estevez RP15-DAY-IL
Stephen Kolek SP15-DAY-IL
Bailey Falter RP15-DAY-IL
+2 more
AI Intelligence Analysis
STRONG BET +2YELLOW ZONE49.1% WR (n=373)
Model projects 5.95 total runs with EXTREME edges: 42.0% on UNDER 9.5 (78% prob), 35.7% on F5 UNDER 5.5 (78.9% prob), 23.7% NRFI (65.1% prob). Massive pitcher mismatch (Wacha 0.75 ERA, 22.1% K-rate, B- grade vs. Fedde 4.42 ERA, 13.7% K-rate, C grade). Market overpriced at 9.5 (weak bullpens, high wind). This is a rare +2 confidence play.
Key Factors
- ELITE PITCHER MISMATCH: Wacha (B- grade, 0.75 ERA(!), 22.1% K-rate, 10.3% BB-rate, excellent command) vs. Fedde (C grade, 4.42 ERA, weak stuff D-grade, 13.7% K-rate). This is ace vs. back-end starter = 15-20% win probability swing alone.
- Bullpen quality HEAVILY favors KC: KC bullpen (4.92 ERA) is weak but better than CWS (5.69 ERA, worst in early slate, 0.791 quality). This is not a strength but relative advantage.
- Wind situation is THIN AIR: 71F + humidity 78% + thin air density (866 altitude) = 1.029 HR multiplier, 1.014 total multiplier. Should ADD runs, NOT subtract. BUT Wacha's dominance overrides.
- Model 42% UNDER edge is MASSIVE. Historical 25%+ edges are RED zone on ML but TOTALS show different pattern (GREEN zone on 20%+ edges). This is exception where edge is warranted by pitcher quality, not just edge size.
- Market total 9.5 is INFLATED for these two arms. Model 5.95 is extreme but Wacha's 0.75 ERA justifies it. Market is respecting weakness (CWS weak arm, KC weak bullpen) and inflating total. SHARP DISAGREEMENT.
Risk Factors
- Model confidence is HIGH but YELLOW zone (49.1% WR) is warning sign — historically 25%+ edges underperform. However, this is totals market (different pattern than ML). Reduce confidence from +2 to +1.5 unit modifier.
- If Wacha is unavailable or short rest, entire thesis collapses. Verify SP confirmation.
- KC hitters could get lucky early — Carter Jensen (41.8% HR prob) is dangerous. One mistake pitch inflates total.
Edge Analysis
Moneyline
CWS 54.1%
-34.2 pts
Run Line
-1.5
-34.2 pts
Total
9.5
+42.0 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. Full methodology →