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Harvard vs. Colgate prediction: Why Colgate is favored to win men's college basketball matchup [12/28/2025]

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Written by Jason Bevilacqua

Get Harvard vs Colgate predictions for college basketball Sunday.

Harvard-Colgate Predictions and Game Preview.
Harvard vs. Colgate men's college basketball prediction for Sunday, December 28, 2025.

Colgate will square off with Harvard in men's college basketball action at Cotterell Court on Sunday, commencing at 2:00 PM ET.

Based on updated simulations, Dimers' proven college basketball model predicts Colgate as the most likely winner of the Harvard vs. Colgate game.

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

Harvard vs. Colgate prediction: Who will win and cover?

Using trusted machine learning and statistical analysis, we have simulated the result of Sunday's NCAA basketball matchup between Harvard and Colgate 10,000 times as part of our men's college basketball predictions coverage.

Our leading predictive model gives Colgate a 60% chance of defeating Harvard. Our predicted final score has Colgate winning 73-70.

According to our model, Harvard (+3.5) has a 56% chance of covering the spread, while the 141.5-point over/under has a 55% chance of going over.

 

Harvard vs. Colgate odds

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

Bet Type Harvard Colgate
Spread +3.5 (-105) -3.5 (-115)
Moneyline +155 -170
Total o141.5 (-110) u141.5 (-110)

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

Harvard vs. Colgate picks and best bet

After matching our probabilities against the best available 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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