Who is predicted to win SAS vs OKC on May 18, 2026?

Based on 10,000 Possession Monte Carlo v5.0.2 Monte Carlo simulations, OKC is favored with a 69.4% win probability. The simulation's mean projected score is OKC 109.3 - SAS 102.5.

How did SAS vs OKC on May 18, 2026 end?

Final score: OKC 115 - SAS 122. This page now shows our pre-game projection alongside the actual outcome for transparency — every Olympus Bets projection is preserved with its result.

How does Olympus Bets generate sports predictions?

Every projection is produced by a league-specific Monte Carlo simulation engine (10,000+ iterations per game), Platt-scaled and isotonic-calibrated against historical outcomes, then sized with the Kelly Criterion plus a 15% Bayesian probability shrinkage. The full methodology is documented at https://app.olympus-bets.com/methodology.

SAS vs OKC Prediction & Picks — May 18, 2026

SAS vs OKC prediction for May 18, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects OKC 109.3 - SAS 102.5. OKC is favored with a 69.4% win probability. The spread is -6.5 and the total is 219.5.

OKC

109.3

Projected Score

VS O/U 219.5

SAS

102.5

Projected Score

Win Probability

69.4%

30.6%

OKCSAS

-6.5

Spread (OKC)

219.5

Total Line

10,000

Simulations

☑ Calibrated accuracy at this confidence: 70.2% (1,196 games)

Projected Points Range 10th – 90th percentile

SAS

93102112

OKC

99109119

Projected

OKC 109.3 — SAS 102.5

Actual

OKC 115 — SAS 122

Tip-off: 2026-05-18 20:40 ETOKC ML: -250SAS ML: +205

Model Confidence40/100 (GOOD)

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

NEUTRAL -1YELLOW ZONE80.4% WR (n=14)

Model failed to account for De'Aaron Fox's All-NBA tier injury (documented in injury report but listed as starter), overstating OKC's win probability by ~5-6 points; game already resolved (SAS won 122-115 2OT), making this a post-hoc analysis of model failure, not a betting opportunity.

Key Factors

De'Aaron Fox (All-NBA, 19pts projected) was OUT per ESPN 2026-05-19 report but still listed in model's SAS starting 5 — ~6.5pt impact not incorporated
OKC net rating +11.8 vs SAS +8.5 (3.29pt quality gap) suggested OKC dominance, but Fox absence eliminated that advantage
Victor Wembanyama overwhelmed OKC defense: 41pts, 24rebs, 2OT performance — model may have undervalued elite defensive ceiling in playoff environment
Dylan Harper's 7 steals (playoff record) indicates SAS defense played at historically elite level despite Fox absence
Simulation predicted OKC +6.8 margin; actual result SAS +7.0 (14.8pt swing) — among largest prediction errors in recent tracked data

Risk Factors

Data integrity failure: injury data not properly synchronized with simulation lineup inputs — Fox injury was documented but not reflected in starter projection
Model likely overweights regular season net ratings in playoff contexts where coaching adjustments and intensity shifts create outsized outcomes
No market odds data available to assess line value (fetched post-game)

DATA INTEGRITYRESOLVED GAMEINJURY IMPACTMODEL FAILUREALL STAR OUT

Edge Analysis

Moneyline

OKC 69.4%

+0.2 pts

Spread

-6.5

+0.2 pts

Total

219.5

-7.7 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 →

SAS vs OKC Prediction