TB vs KC prediction for July 1, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects KC 6.3 - TB 6.8. TB is favored with a 51.9% win probability. The run line is 1.5 and the total is 10.5. Model projects 13.1 total runs.
KC
6.3
Projected Score
VS
O/U 10.5
TB
6.8
Projected Score
Win Probability
KCTB
+1.5
Run Line (KC)
10.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 55.2% (2,559 games)
Projected Runs Range 10th – 90th percentile
TB
579
KC
468
Starting Pitcher Matchup
Shane McClanahan L
TB
FF38%96 mph16% whiff
CH28%87 mph34% whiff
SL20%88 mph27% whiff
Seth Lugo R
KC
SI20%92 mph12% whiff
FF17%92 mph12% whiff
FC15%90 mph19% whiff
Weather Impact
Kauffman Stadium
95°F17 mph wind
HR: 1.022 Total: 1.008
thin air, 8mph in
Bullpen Comparison
TB
4.35ERA
4.16FIP
8.55K/9
3.50BB/9
1.33WHIP
KC
4.34ERA
5.00FIP
8.61K/9
4.51BB/9
1.45WHIP
Betting Edges
RUN_LINE HOME +1.5
-30.8% EV
-139
TOTAL UNDER 10.5
-28.9% EV
-120
TOTAL OVER 10.5
+21.1% EV
-102
F5 OVER 5.5
+20.2% EV
-102
RUN_LINE AWAY -1.5
-10.6% EV
+115
F5_ML AWAY
-9.4% EV
-135
First 5 Innings & NRFI
TB F5
3.9 runs
45.8% win
KC F5
3.8 runs
43.6% win
F5 Total
7.7
NRFI
40.2%
YRFI
59.9%
Avg 1st Inn Runs
1.50
HR Spotlight
Avg HRs
4.0
Over 0.5 HR
98%
Over 1.5 HR
91%
No HR
2%
Pitcher Strikeout Projections
Shane McClanahan
0.0 K projected
TB | K/9: 0.0
Seth Lugo
0.0 K projected
KC | K/9: 0.0
Injury Report
TB8 injured
Austin Vernon RPDAY-TO-DAY
Jake Fraley RF10-DAY-IL
Luis Guerrero RPDEVELOPMENTAL LIST
Tre' Morgan 1BDAY-TO-DAY
Logan Davidson 1BDAY-TO-DAY
Steven Matz SP15-DAY-IL
+2 more
KC8 injured
Connor Seabold RPDAY-TO-DAY
Stephen Kolek SPBEREAVEMENT
Carlos Estevez RP60-DAY-IL
Nick Mears RP15-DAY-IL
Kris Bubic SP15-DAY-IL
Cole Ragans SP60-DAY-IL
+2 more
AI Intelligence Analysis
Edge Analysis
Moneyline
TB 51.9%
-30.8 pts
Run Line
+1.5
-30.8 pts
Total
10.5
+21.1 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 →