SAS vs MIN prediction for May 15, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects MIN 108.7 - SAS 104.9. MIN is favored with a 61.0% win probability. The spread is 13.5 and the total is 242.5.
MIN
108.7
Projected Score
VS
O/U 242.5
SAS
104.9
Projected Score
Win Probability
MINSAS
+13.5
Spread (MIN)
242.5
Total Line
10,000
Simulations
SAS W4MIN L5
Calibrated accuracy at this confidence: 60.9% (1,247 games)
Projected Points Range 10th – 90th percentile
SAS
95105115
MIN
99109119
Projected
MIN 108.7 — SAS 104.9
Actual
MIN 109 — SAS 139
Pick Results
Rudy Gobert OVER 8.5 reboundsnba_player_reboundsLOSS-1.50u
Julius Randle OVER 15.5 pointsnba_player_pointsLOSS-1.50u
Julian Champagnie OVER 7.5 pointsnba_player_pointsWIN+0.81u
Model Projection
ATSELITE-110
MIN +13.5
+17.3%
Edge
90.3%
Win/Cover Prob
1.0u
Units
93
Quality
Possession model projects +3.8 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
MIN1 OUT
Anthony Edwards28.8PPG5.0RPG3.7APG
Julius Randle21.1PPG6.7RPG5.0APG
Jaden McDaniels14.8PPG4.2RPG2.7APG
Rudy Gobert10.9PPG11.5RPG1.7APG
Ayo Dosunmu14.8PPG3.4RPG3.6APG
AI Intelligence Analysis
NEUTRAL -2YELLOW ZONE78.2% WR (n=8)
HARD BLOCK: Simulation contains DATA_INTEGRITY failure (De'Aaron Fox listed as SAS starter when he plays for Sacramento Kings). This corrupts the model's lineup assumptions and inflates the spread edge to 8.12pts — a value that cannot be trusted. Coupled with non-resimulated status, reject this game entirely.
Key Factors
- DATA INTEGRITY FAILURE: De'Aaron Fox (Sacramento Kings) listed as SAS starter — wrong player on wrong team
- SAS is legitimately elite: 62-20 record (0.756 WP), net_rtg +8.24, 7-3 in L10 (hot)
- MIN overmatched: 49-33 record (0.598 WP), net_rtg +2.90, 6-4 in L10 (neutral)
- Actual quality gap: SAS +8.24 vs MIN +2.90 = 5.34pt advantage SAS (market -5.5 is reasonable; model +0.2 is absurd)
- Model not resimulated despite playoff impact — stale lineup data
Risk Factors
- Wrong-player error invalidates entire model prediction for this game
- Non-resimulated status means injury updates not incorporated (Donte DiVincenzo OFS for MIN is in injury report but unclear if model captured)
- 8.12pt spread edge is wildly disconnected from actual talent gap (should be ~5.5pt) — sign of simulation failure
DATA INTEGRITYSTALE LINEUPNOT RESIMULATEDHIGH EDGE WARNINGBLOCK FROM PREMIUM
Edge Analysis
Moneyline
MIN 61.0%
+17.3 pts
Spread
+13.5
+17.3 pts
Total
242.5
-28.9 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 →