SAS vs OKC prediction for May 30, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects OKC 109.6 - SAS 104.9. OKC is favored with a 63.4% win probability. The spread is 5.5 and the total is 218.5.
OKC
109.6
Projected Score
VS
O/U 218.5
SAS
104.9
Projected Score
Win Probability
OKCSAS
+5.5
Spread (OKC)
218.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 59.9% (1,255 games)
Projected Points Range 10th – 90th percentile
SAS
95105115
OKC
100110120
Projected
OKC 109.6 — SAS 104.9
Actual
OKC 103 — SAS 111
Model Projection
ATSSTRONG-110
OKC +5.5
+10.2%
Edge
77.3%
Win/Cover Prob
1.0u
Units
93
Quality
Possession model projects +4.7 margin vs line 5.5
Starting Lineups
SAS1 OUT
De'Aaron Fox18.6PPG3.8RPG6.2APG
Devin Vassell13.9PPG4.0RPG2.5APG
Stephon Castle16.7PPG5.3RPG7.4APG
Victor Wembanyama25.0PPG11.5RPG3.1APG
Julian Champagnie11.1PPG5.8RPG1.5APG
OKC3 OUT
Shai Gilgeous-Alexander31.1PPG4.3RPG6.6APG
Chet Holmgren17.1PPG8.9RPG1.7APG
Luguentz Dort8.3PPG3.6RPG1.2APG
Cason Wallace8.6PPG3.1RPG2.6APG
Isaiah Hartenstein9.2PPG9.4RPG3.5APG
Edge Analysis
Moneyline
OKC 63.4%
+10.2 pts
Spread
+5.5
+10.2 pts
Total
218.5
-4.0 pts
How this prediction was generated: This page shows output from the Olympus Bets NBA Basketball 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 →