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Iona vs. Canisius Prediction: Iona Predicted to Win College Basketball Matchup [3/2/2025]

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Written by Jason Bevilacqua

Our expert prediction for Sunday's Iona vs Canisius matchup.

Iona-Canisius Predictions and Game Preview.
Koessler Athletic Center sets the stage for the college basketball matchup between Iona and Canisius this Sunday.

College basketball action continues on Sunday at 1:00PM ET as the favored Iona locks horns with Canisius in college basketball action at Koessler Athletic Center.

Based on the latest simulation results, Dimers' advanced college basketball model (see Dimers Pro for full access) predicts Iona as the most likely winner of today's game.

Check the latest March Madness bracket projections and 2025 NCAA Championship probabilities.

"Using the most recent data, our experts ran 10,000 simulations of Sunday's Iona-Canisius game," said Dimers' Chief Content Officer, Nick Slade.

"After accounting for recent updates and other variables, our prediction shows Iona with a win probability of 74%, while Canisius has 26%."

For a closer look at Sunday's matchup, including an expanded look at the predicted score, best bets and picks, visit our interactive Iona vs. Canisius predictions page.

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Iona vs. Canisius Prediction: Who Will Win, Cover the Spread?

Using powerful machine learning and data, we have simulated the result of Sunday's NCAA basketball matchup between Iona and Canisius 10,000 times as part of our college basketball predictions coverage.

Our independent predictive model currently gives Iona a 74% chance of beating Canisius. Our predicted final score has Iona winning 74-67.

According to our model, Iona (-5.5) has a 55% chance of covering the spread, while the 142.5-point over/under has a 55% chance of staying under.

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Iona vs. Canisius Odds

We have sourced the best College Basketball odds in America for this game, which are listed here:

Bet Type Iona Canisius
Spread -5.5 (-110) +5.5 (-104)
Moneyline -235 +205
Total o142.5 (-110) u142.5 (-108)

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

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Iona vs. Canisius Picks and Best Bets

Our model's biggest edge in today's Iona vs. Canisius matchup is on the moneyline.

Our expert predictions, aligned with the current odds, reveal the best college basketball picks for every game throughout the season.

Unlimited access to our full set of picks, including this one, is available via Dimers Pro.

Unlock Every Iona-Canisius Pick

Iona vs. Canisius Game-Day Updates and Essential Details

Sunday's college basketball action between Canisius and Iona at Koessler Athletic Center is scheduled to commence at 1:00PM ET.

  • Who: Iona vs. Canisius
  • Date: Sunday, March 2, 2025
  • Time: 1:00PM ET/10:00AM PT
  • Venue: Koessler Athletic Center

Dimers.com's in-depth preview of Sunday's Iona vs. Canisius matchup includes our prediction, picks and the latest betting odds.

Before making any Iona vs. Canisius picks, be sure to check out the latest college basketball predictions and betting advice from Dimers Pro.

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Conclusion

We predict Iona, with a 74% win probability, will likely beat Canisius on Sunday.

AI and automation have enhanced this article to quickly deliver accurate Iona vs. Canisius insights, with human oversight ensuring high editorial quality. Our predictions are sourced from the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

More on College Basketball

Stay up-to-date with the latest college basketball betting news, college basketball best bets and CBB parlay picks throughout the season. Plus, our March Madness odds provide the latest projections for every March Madness contender.

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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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