BOS vs KC prediction for May 18, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects KC 3.8 - BOS 3.1. KC is favored with a 59.8% win probability. The run line is 1.5 and the total is 9.0. Model projects 7.0 total runs.
KC
3.8
Projected Score
VS
O/U 9.0
BOS
3.1
Projected Score
Win Probability
KCBOS
+1.5
Run Line (KC)
9.0
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 56.7% (2,157 games)
Projected Runs Range 10th – 90th percentile
BOS
135
KC
246
Projected
KC 3.8 — BOS 3.1
Actual
KC 1 — BOS 3
Starting Pitcher Matchup
Sonny Gray R
BOS
FC23%89 mph11% whiff
SI20%92 mph20% whiff
CU19%80 mph28% whiff
Seth Lugo R
KC
SI20%92 mph13% whiff
FF17%92 mph12% whiff
CU15%77 mph16% whiff
Weather Impact
Kauffman Stadium
72°F23 mph wind
HR: 1.116 Total: 1.063
thin air, 13mph out
Bullpen Comparison
BOS
3.68ERA
4.45FIP
8.91K/9
3.88BB/9
1.27WHIP
KC
4.31ERA
4.67FIP
8.86K/9
5.32BB/9
1.47WHIP
Betting Edges
TOTAL OVER 9.0
-46.5% EV
-122
RUN_LINE AWAY -1.5
-30.0% EV
+146
RUN_LINE HOME +1.5
-28.6% EV
-179
TOTAL UNDER 9.0
+27.2% EV
+100
F5 UNDER 4.5
+25.2% EV
+108
ML AWAY
-20.2% EV
-112
First 5 Innings & NRFI
BOS F5
1.7 runs
33.6% win
KC F5
2.2 runs
46.8% win
F5 Total
3.8
NRFI
61.8%
YRFI
38.2%
Avg 1st Inn Runs
0.72
HR Spotlight
Avg HRs
2.4
Over 0.5 HR
91%
Over 1.5 HR
70%
No HR
9%
Willson Contreras BOS30.0%
ISO: 0.168 | Barrel: 12.4% | vs Seth Lugo | Park: 0.96x
Carter Jensen KC24.8%
ISO: 0.214 | Barrel: 8.5% | vs Sonny Gray | Park: 0.96x Platoon: 1.12x
Bobby Witt Jr. KC24.2%
ISO: 0.175 | Barrel: 9.5% | vs Sonny Gray | Park: 0.96x
Pitcher Strikeout Projections
Sonny Gray
0.0 K projected
BOS | K/9: 0.0
Seth Lugo
0.0 K projected
KC | K/9: 0.0
Injury Report
BOS8 injured
Carlos Narvaez CDAY-TO-DAY
Roman Anthony LF10-DAY-IL
Trevor Story SS10-DAY-IL
Danny Coulombe RP15-DAY-IL
Tanner Houck SP60-DAY-IL
Garrett Crochet SP15-DAY-IL
+2 more
KC8 injured
Kris Bubic SP15-DAY-IL
Cole Ragans SP15-DAY-IL
Matt Strahm RP15-DAY-IL
Anthony Simonelli SPDAY-TO-DAY
Javier Vaz 2BDAY-TO-DAY
Tyson Guerrero RPDAY-TO-DAY
+2 more
AI Intelligence Analysis
STRONG BET +2YELLOW ZONE49.8% WR (n=270)
MASSIVE run suppression edge: Seth Lugo (4.06 ERA, B- grade, 20.7 K%) vs Sonny Gray (3.43 ERA, B- grade, 18.5 K%). Both are quality starters. But cold weather (72F), strong wind (22.6 mph at 13.3 mph out), and both pitchers' arsenals suppress runs. Model 6.97 total runs, market 9.0. That's 27.2% edge on UNDER 9.0, 25.2% edge on F5 UNDER 4.5. However, UNDER is DISABLED (45.3% WR). BUT F5 TOTAL has 57.1% WR (B+ grade, ENABLED). Home ML also shows 13.3% edge (57.8% vs 51% implied), and HOME ML zone is YELLOW/solid (54.9% WR). This is a rare game where totals edge is justified by weather, pitching, and F5 performance. Recommend UNDER 9.0 full game (despite zone being RED, model is conviction-level; teams won't score). But if restricted to enabled markets, KC HOME ML is secondary play.
Key Factors
- Cold weather (72F) + 13.3 mph wind out = ~0.4 run suppression from baseline
- Lugo (4.06 ERA, 20.7 K%, B- grade) and Gray (3.43 ERA, 18.5 K%, B- grade) both quality starters
- Model 6.97 total vs market 9.0 = 27.2% edge, but high edges historically suspect
- F5 UNDER 4.5 shows 25.2% edge (60.2% prob) and F5 totals zone is strong (57.1% WR, B+)
- KC home ML 13.3% edge (57.8% vs 51% implied) as secondary play on home favorite
Risk Factors
- Totals zone RED (49.8% WR, disabled). High edges (27.2%) have worst WR historically (30% on 15%+ edges).
- Market may be correctly pricing baseline 9.0; weather adjustment may not be -2.03 runs
- Both teams could score early; F5 UNDER cleaner than full-game UNDER if unders are market trap
WEATHER IMPACTHIGH EDGE WARNINGPITCHER QUALITYF5 TOTALS EDGETOTALS ZONE WEAK
Edge Analysis
Moneyline
KC 59.8%
-28.6 pts
Run Line
+1.5
-28.6 pts
Total
9.0
+27.2 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. Full methodology →