SAS vs OKC prediction for May 26, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects OKC 108.3 - SAS 103.5. OKC is favored with a 63.8% win probability. The spread is -13.5 and the total is 236.5.
OKC
108.3
Projected Score
VS
O/U 236.5
SAS
103.5
Projected Score
Win Probability
OKCSAS
-13.5
Spread (OKC)
236.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 62.9% (1,255 games)
Projected Points Range 10th – 90th percentile
SAS
94104113
OKC
98108118
Projected
OKC 108.3 — SAS 103.5
Actual
OKC 127 — SAS 114
Model Projection
ATSELITE-110
SAS +13.5
+8.7%
Edge
74.3%
Win/Cover Prob
1.0u
Units
93
Quality
Possession model projects +4.8 margin vs line -13.5
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
AI Intelligence Analysis
NEUTRALYELLOW ZONE82.3% WR (n=13)
While OKC ML shows +9.8% theoretical edge with strong zone history (82.3% WR, home favorite), league ICE_COLD status (16.7% WR last 7d), system degradation (Grade F spread disabled), and playoff variance make this a neutral-to-cautious spot where the edge is insufficient to overcome current model underperformance.
Key Factors
- OKC net rating +10.8 vs SAS +8.5 = 2.3 pt quality gap (both elite, marginal difference)
- Model win prob 64.3% vs market implied ~54.5% = +9.8% edge for OKC ML
- Home favorite ML zone: 82.3% WR (n=13) in YELLOW tier — historically strong but limited sample
- League health ICE_COLD: 1-5 record, 16.7% WR last 7 days (system confidence at minimum)
- Playoff context: Game 5 is elimination/advancement game, variance and intensity spike beyond model calibration
Risk Factors
- League-wide 14-day ROI -16% on 50% WR suggests systematic model loss vs house edge
- Spread betting disabled (Grade F, 44.6% WR) indicates potential model compression issues affecting all line-based bets
- Playoff games have higher variance; model trained on regular season; reliability declines in postseason
LEAGUE HEALTH ICE COLDSYSTEM DEGRADATION SPREAD DISABLEDHIGH VARIANCE PLAYOFF GAMEMODEL VS MARKET MODEST DISAGREEMENTZONE YELLOW NOT GREEN
Edge Analysis
Moneyline
OKC 63.8%
-8.7 pts
Spread
-13.5
-8.7 pts
Total
236.5
-24.6 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 →