FINAL: Yale 67 — UNC Wilmington 68. Our Monte Carlo simulation projected Yale 85.1 - UNC Wilmington 81.0 (Yale at 61.2% win probability). The spread is -5.0 and the total is 145.5.
Yale
85.1
Projected Score
VS
O/U 145.5
UNC Wilmington
81.0
Projected Score
Win Probability
YaleUNC Wilmington
-5.0
Spread (Yale)
145.5
Total Line
10,000
Simulations
UNC WilmingtonYale L4
Calibrated accuracy at this confidence: 63.5% (4,284 games)
Projected Points Range 10th – 90th percentile
UNC Wilmington
688194
Yale
728598
Projected
Yale 85.1 — UNC Wilmington 81.0
Actual
Yale 67 — UNC Wilmington 68
Pick Results
Over 147.5totalLOSS-1.50u
Spread Analysis
Yale Cover
43.6%
UNC Wilmington Cover
56.4%
ATS Edge: -1.6 pts
AI Intelligence Analysis
LEAN +1GREEN ZONE81.0% WR (n=51)
Yale is a legitimate home favorite with model directional agreement (61.2% win prob) in a GREEN ML zone (81% historical WR), but the massive total discrepancy (+18.6 pts over) is a RED zone trap that must be avoided.
Key Factors
- Model win prob for Yale: 61.2% — directional confidence above neutral, confirms home favorite direction
- GREEN zone: CBB|ml|home|favorite|5-10%|any has 81.0% WR (51 bets, z=4.34) — historically elite ML niche
- Predicted total 166.1 vs market 147.5 = +18.6 pts gap — LARGEST total discrepancy on slate, but OVER zone is RED (24.6% WR, z=-3.02)
- Model spread: Yale -3.5 vs market Yale -5.0 — 1.5 pt market-model gap suggests model slightly favors UNC Wilmington covering (cover_away_prob 56.4%)
- 30-day OVER performance: only 25.0% WR (1W-3L) — overs are destroying value in current regime
Risk Factors
- Model-spread gap only 1.5 pts (Yale -3.5 model vs -5.0 market) — very thin spread edge, UNC Wilmington may cover even if Yale wins
- Zero line movement detected — no sharp confirmation available for either side
- Recent 14-day ML record: 6W-9L (40% WR) — cold streak undermines historical GREEN zone confidence
ML VALUEGREEN ZONEDIRECTION CONFIRMEDTOTALS VALUERED ZONE
Edge Analysis
Moneyline
Yale 61.2%
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Spread
-5.0
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Total
145.5
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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 →