McNeese State vs. Louisiana-Lafayette Prediction: McNeese State Predicted to Win College Basketball Matchup [12/22/2024]

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Written by Jason Bevilacqua

Our expert prediction for Sunday's McNeese State vs Louisiana-Lafayette matchup.

McNeese State-Louisiana-Lafayette Predictions and Game Preview.
Cajundome sets the stage for the college basketball matchup between McNeese State and Louisiana-Lafayette this Sunday.

Louisiana-Lafayette will face the favored McNeese State in college basketball action at Cajundome on Sunday, commencing at 3:00PM ET.

Based on updated simulations, Dimers' proven college basketball model (see Dimers Pro for full access) predicts McNeese State as the most likely winner of today's game.

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

"After accounting for recent updates and other variables, our prediction shows McNeese State with a win probability of 85%, while Louisiana-Lafayette has 15%."

For a closer look at Sunday's matchup, including the predicted score, best bets and an expanded look at the predicted final score, visit our interactive McNeese State vs. Louisiana-Lafayette predictions page.

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McNeese State vs. Louisiana-Lafayette Game-Day Updates and Essential Details

Sunday's college basketball matchup between Louisiana-Lafayette and McNeese State at Cajundome is scheduled to begin at 3:00PM ET.

Dimers.com's comprehensive preview of Sunday's McNeese State vs. Louisiana-Lafayette matchup includes our prediction, picks and the latest betting odds.

Before making any McNeese State vs. Louisiana-Lafayette picks, be sure to check out the latest college basketball predictions and betting advice from Dimers Pro.

McNeese State vs. Louisiana-Lafayette Prediction: Who Will Win, Cover the Spread?

Using innovative machine learning and data analysis, we have simulated the result of Sunday's NCAA basketball matchup between McNeese State and Louisiana-Lafayette 10,000 times as part of our college basketball predictions coverage.

Our leading predictive model gives McNeese State an 85% chance of defeating Louisiana-Lafayette. Our predicted final score has McNeese State winning 76-66.

According to our model, Louisiana-Lafayette (+11.5) has a 54% chance of covering the spread, while the over/under total of 140.5 points has a 54% chance of going over.

 

McNeese State vs. Louisiana-Lafayette Odds

We have researched the best betting odds in America for this game, which are listed here:

Bet Type McNeese State Louisiana-Lafayette
Spread -11.5 (-105) +11.5 (-110)
Moneyline -690 +575
Total o140.5 (-105) u140.5 (-112)

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

McNeese State vs. Louisiana-Lafayette Picks

Our model's strongest edge in today's McNeese State vs. Louisiana-Lafayette matchup is on the spread.

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

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

Conclusion

We predict McNeese State, with an 85% win probability, will likely beat Louisiana-Lafayette on Sunday.

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

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More on College Basketball

Keep up with the latest college basketball news, college basketball best bets and CBB parlay picks throughout the season. Plus, our March Madness odds offer the most up-to-date probabilities 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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