FINAL: La Salle Explorers 80 — St. Bonaventure 99. Our Monte Carlo simulation projected La Salle Explorers 82.1 - St. Bonaventure 87.7 (St. Bonaventure at 69.4% win probability). The spread is 5.5 and the total is 144.5.
La Salle Explorers
82.1
Projected Score
VS
O/U 144.5
St. Bonaventure
87.7
Projected Score
Win Probability
La Salle ExplorersSt. Bonaventure
+5.5
Spread (La Salle Explorers)
144.5
Total Line
10,000
Simulations
St. BonaventureLa Salle Explorers L4
Calibrated accuracy at this confidence: 71.8% (4,284 games)
Projected Points Range 10th – 90th percentile
St. Bonaventure
7488101
La Salle Explorers
698295
Projected
La Salle Explorers 82.1 — St. Bonaventure 87.7
Actual
La Salle Explorers 80 — St. Bonaventure 99
Pick Results
Over 144.5totalWIN+1.36u
Spread Analysis
La Salle Explorers Cover
49.4%
St. Bonaventure Cover
50.6%
ATS Edge: -0.2 pts
AI Intelligence Analysis
NEUTRAL -1GREEN ZONE77.8% WR (n=36)
Model gives St. Bonaventure a 68.2% win probability as the away favorite, but no ML odds are available for this game, making it impossible to evaluate market-implied probability or Kelly value — skip without actionable odds.
Key Factors
- St. Bonaventure is away favorite with 68.2% model win prob — away favorite GREEN zone (77.8% WR, n=36)
- Market spread confirms Bonaventure as favorite (La Salle +4.5 at home vs -5.5 market align)
- Total discrepancy +31.6 pts — same systematic anomaly as other games today
- No ML odds available — cannot size this bet
Risk Factors
- No ML odds available — cannot evaluate market-implied probability
- Away combo zone (CBB|ml|any|away) has 37.1% WR — broader away pool is RED
- Totals anomaly suggests scoring inputs may be corrupted today
MODEL MARKET CONFLICTTOTALS VALUECONFERENCE GAME
Edge Analysis
Moneyline
St. Bonaventure 69.4%
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Spread
+5.5
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Total
144.5
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How this prediction was generated: This page shows output from the Olympus Bets College 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 →