SAS vs OKC prediction for May 20, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects OKC 112.0 - SAS 105.4. OKC is favored with a 69.3% win probability. The spread is -8.0 and the total is 215.5.
OKC
112.0
Projected Score
VS
O/U 215.5
SAS
105.4
Projected Score
Win Probability
OKCSAS
-8.0
Spread (OKC)
215.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 77.3% (1,253 games)
Projected Points Range 10th – 90th percentile
SAS
95105115
OKC
102112122
Projected
OKC 112.0 — SAS 105.4
Actual
OKC 122 — SAS 113
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
OKC1 OUT
Shai Gilgeous-Alexander31.1PPG4.3RPG6.6APG
Chet Holmgren17.1PPG8.9RPG1.7APG
Jalen Williams17.1PPG4.6RPG5.5APG
Luguentz Dort8.3PPG3.6RPG1.2APG
Cason Wallace8.6PPG3.1RPG2.6APG
AI Intelligence Analysis
LEAN +1YELLOW ZONE80.8% WR (n=13)
OKC is the superior team (net +11.35 vs SAS +8.72) facing a SAS team missing All-NBA guard De'Aaron Fox (ankle OUT, -6.5 pt impact), making OKC ML a mild edge despite incomplete model data; however, playoff variance and disabled spread tier warrant caution.
Key Factors
- OKC net rating +11.35 vs SAS +8.72 = 2.63pt quality gap (top-4 team vs mid-tier competitor)
- De'Aaron Fox OUT (All-NBA guard, -6.5 to -7.0 pt swing) — not incorporated in model, already priced by market
- Home Fav ML zone: 80.8% WR on 13 samples (YELLOW, historically strong)
- Both teams 4-1 L5 and 8-2 L10 (no fatigue edge), both have 2 days rest (neutral)
- OKC 64-18 record vs SAS 62-20 (elite team at home vs strong road team without star PG)
Risk Factors
- Simulation data is STALE (Fox included in lineup when OUT) — model prediction unreliable for injury-adjusted edge
- Playoff games have higher variance; single-game elimination context can produce upsets
- Spread bets are completely disabled (Grade F, 44.7% WR) — avoid spread market entirely despite -8.0 line
DATA INTEGRITYINJURY IMPACTDIRECTION CONFIRMEDML VALUEQUALITY MISMATCHRESIM STALE
Edge Analysis
Moneyline
OKC 69.3%
-1.4 pts
Spread
-8.0
-1.4 pts
Total
215.5
+2.0 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 →