OKC vs SAS prediction for May 28, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects SAS 102.9 - OKC 106.8. OKC is favored with a 61.1% win probability. The spread is -24.5 and the total is 213.5.
SAS
102.9
Projected Score
VS
O/U 213.5
OKC
106.8
Projected Score
Win Probability
SASOKC
-24.5
Spread (SAS)
213.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 58.4% (1,196 games)
Projected Points Range 10th – 90th percentile
OKC
97107117
SAS
93103113
Projected
SAS 102.9 — OKC 106.8
Actual
SAS 118 — OKC 91
Model Projection
ATSELITE-110
OKC +24.5
+28.4%
Edge
98.2%
Win/Cover Prob
1.0u
Units
93
Quality
Possession model projects -3.9 margin vs line -24.5
Starting Lineups
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
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
AI Intelligence Analysis
NEUTRAL -1YELLOW (best match) → RED (broader away category) ZONE17.5% WR (n=13)
Simulation contains data integrity error (De'Aaron Fox listed as SAS starter, but Fox plays for Sacramento Kings); combined with away underdog ML being a historical RED zone (17.5% WR, -2.5 z-score), confidence is too low despite directional OKC team quality edge.
Key Factors
- Data Integrity: De'Aaron Fox (SAC) listed in SAS starting lineup—major roster error invalidates derived predictions (Fox averages 26.3 PPG for Sacramento, not on Spurs roster)
- Zone Risk: Away underdog ML historically 17.5% WR (specific zone, n=13); broader away ML is RED at 44.0% WR (n=67, z=-1.1)
- Team Quality: OKC net rating +10.8 vs SAS +8.27 (2.53 pt differential favors OKC); OKC L10: 8-2 (80%) vs SAS L5: 2-3 (40%) — OKC trending hot, SAS cooling
- Injury Impact: OKC missing ~4.5 pts value (Jalen Williams soreness -2.5, rotation players -2.0); SAS missing ~1.0 pt. Net swing favors SAS by 3.5 pts, partially explaining -3.5 market spread
- Playoff Context: Game 6 of series (series status unclear—either SAS or OKC up 3-2). Winner implications on team mentality unknown from available data
Risk Factors
- Away underdog ML is historical liability: 17.5% WR in best-match zone, z=-2.5. Broader away ML category RED at 44.0% WR. Directional bet recommendation requires exceptional thesis.
- Simulation roster error: If SAS lineup data is wrong, scoring predictions (and by extension spreads/totals) are biased. Model may be overvaluing OKC's expected points vs actual SAS defense/offense matchup.
- Unknown playoff series status: If SAS is up 3-2 and fighting for survival, home court desperation could override team quality metrics. If OKC is up 3-2, different pressure dynamics apply.
DATA INTEGRITYRED ZONEAWAY DOG POISONMODEL MARKET CONFLICTINJURY IMPACTCAUTION
Edge Analysis
Moneyline
OKC 61.1%
-28.4 pts
Spread
-24.5
-28.4 pts
Total
213.5
-3.7 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 →