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: 59.2% (1,255 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. Full methodology →