Bucknell vs Cornell

League: NCAAB | Date: 2025-11-30 02:00 PM EST | Last Updated: 2025-11-30 10:56 AM EST

💰 Best Bet #1 Cornell / -5.5 at -110 / 62% / Simulation indicates strong cover probability with 61.9% rate; Cornell’s home efficiency and Bucknell’s road struggles align despite modest public support
💰 Best Bet #2 Over / 156.5 at -110 / 57% / Average simulated total of 158.4 exceeds line, backed by both teams’ recent pace and defensive vulnerabilities in current season matchups
💰 Best Bet #3 Cornell / Moneyline -280 / 75% / Dominant 74.8% win probability from Monte Carlo runs, superior adjusted efficiency ratings confirm value even at juice

🏀 Bucknell vs Cornell on 2025-11-30

Game Times
ET: 2:00 PM
CT: 1:00 PM
MT: 12:00 PM
PT: 11:00 AM
AKT: 10:00 AM
HST: 8:00 AM

💸 Public Bets
Cornell 68% / Bucknell 32%

💰 Money Distribution
Cornell 72% / Bucknell 28%

💹 Market Alignment
Aligned

📉 Line Movement
Stable at Cornell -5.5; opened -5, no significant RLM despite public lean on favorite

Simulation Results
| Metric | Value |
|——–|——-|
| Win % for Bucknell | 24.2% |
| Win % for Cornell | 74.8% |
| Spread Cover % for Bucknell (+5.5) | 38.1% |
| Over/Under Probability | Over: 57.3% / Under: 42.7% |
| Average Total Points | 158.4 |
| 95% Confidence Interval for Margin | [-19.2, 8.7] |

💡 Mathematical Edge (EV)
+3.2% on Cornell -5.5 (implied prob 52.4% vs model 62%); +2.1% on Over 156.5 given pace metrics and recent totals exceeding line in 60% of comparable games

Top 3 Player Props
Player props unavailable due to roster or injury verification failure

⚖️ Analysis Summary
Public sentiment aligns with sharp money indicators on Cornell, as money percentage exceeds bets without reverse line movement signaling contrarian value. Follow the favorite here, with math confirming edge on spread and total. Game projects as moderately high-scoring, with both offenses capable against leaky defenses (Cornell allows 78 ppg at home, Bucknell yields 82 on road in early 2025 season).

🔮 Recommended Play
Follow the public with Cornell — highest probability backed by simulation convergence and market stability.

Highlights unavailable.