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Cornell vs. Samford prediction: Samford favored to win men's college basketball matchup [12/7/2025]

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Written by Jason Bevilacqua

Get Cornell vs Samford predictions for college basketball Sunday.

Cornell-Samford Predictions and Game Preview.
Cornell vs. Samford men's college basketball prediction for Sunday, December 7, 2025.

Samford will square off with Cornell, in what is expected to be a tight Men's College Basketball game, at Pete Hanna Center on Sunday, starting at 7:00PM ET.

Based on updated simulation results, Dimers' advanced college basketball model gives Samford a slight edge with a 54% win probability over Cornell.

This article offers an expanded analysis of Sunday's Cornell vs. Samford matchup, including an expanded look at the predicted score, best bets and picks.

Cornell vs. Samford prediction: Who will win and cover?

Using trusted machine learning and data, we have simulated the result of Sunday's NCAA basketball game between Cornell and Samford 10,000 times as part of our men's college basketball predictions coverage.

Our famous predictive model currently gives Samford a 54% chance of beating Cornell. Our predicted final score has Samford winning 82-81.

According to our model, Cornell (+1.5) has a 51% chance of covering the spread, while the 166.5-point over/under has a 53% chance of staying under.

 

Cornell vs. Samford odds

We have sourced the best men's college basketball odds in America for this game, which are listed here:

Bet Type Cornell Samford
Spread +1.5 (-105) -1.5 (-115)
Moneyline +125 -135
Total o166.5 (-112) u166.5 (-105)

All odds are correct at the time of publication and are subject to change.

Cornell vs. Samford picks and best bet

After matching our probabilities against the best current odds, we can reveal our picks for each of the major markets. Plus, find our best bet for the game below:

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Written by
Jason Bevilacqua
Head of Content and Communities

Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.

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