NYK vs SAS prediction for June 3, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects SAS 106.4 - NYK 108.9. NYK is favored with a 57.6% win probability. The spread is 3.5 and the total is 201.5.
SAS
106.4
Projected Score
VS
O/U 201.5
NYK
108.9
Projected Score
Win Probability
SASNYK
+3.5
Spread (SAS)
201.5
Total Line
10,000
Simulations
NYK L4SAS W4
Calibrated accuracy at this confidence: 56.8% (1,264 games)
Projected Points Range 10th – 90th percentile
NYK
99109119
SAS
96106116
Projected
SAS 106.4 — NYK 108.9
Actual
SAS 95 — NYK 105
Pick Results
Julian Champagnie UNDER 16.5 pointsnba_player_pointsWIN+0.97u
De'Aaron Fox OVER 17.5 pranba_player_points_rebounds_assistsLOSS-1.50u
Stephon Castle UNDER 17.5 pointsnba_player_pointsWIN+1.47u
Model Projection
MLELITE+370
SAS ML
+21.2%
Edge
42.4%
Win/Cover Prob
1.0u
Units
45
Quality
Model gives SAS 42% win prob
Starting Lineups
NYKHealthy
Jalen Brunson26.0PPG3.3RPG6.8APG
OG Anunoby16.7PPG5.2RPG2.2APG
Mikal Bridges14.4PPG3.8RPG3.7APG
Karl-Anthony Towns20.1PPG11.9RPG3.0APG
Josh Hart12.0PPG7.4RPG4.8APG
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
Edge Analysis
Moneyline
NYK 57.6%
+1.0 pts
Spread
+3.5
+1.0 pts
Total
201.5
+13.8 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 →