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: 70.2% (1,196 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. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →