Apr 5, 2025
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Read Article Columbus Crew vs. CF Montreal Prediction, Odds, Picks, and MLS Season Pass Discount Code [4/5/2025]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Our expert prediction for Saturday's Columbus Crew vs CF Montreal matchup.
Columbus and Montreal will meet in MLS action at Lower.com Field in Columbus, Ohio on Saturday, starting at 7:30PM ET.
Based on the latest simulation results, Dimers' proven MLS model (see Dimers Pro for full access) predicts Columbus as the most likely winner of today's game.
"Our team has used the latest data to run 10,000 simulations of Saturday's Columbus-Montreal game," said Ryan Leaver from Dimers.
"By incorporating recent updates and various factors, our prediction gives Columbus a 66.8% chance of winning, Montreal a 14.0% chance, and a 19.2% chance of a draw."
For expanded analysis of Saturday's matchup, including best bets and picks, visit our interactive Columbus vs. Montreal predictions page.
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Get Your First Month For the Price of 1 Week with Promo Code MARCH Get Dimers Pro Columbus Crew vs. CF Montreal Prediction: Who Will Win?
Using powerful machine learning and data analysis, we have simulated the outcome of Saturday's MLS matchup between Columbus and Montreal 10,000 times as part of our MLS predictions coverage.
Our leading predictive model currently suggests a 66.8% chance of Columbus winning, a 14.0% chance for Montreal, and a 19.2% chance of a draw.
Additionally, the over/under total of 2.5 goals has a 58% chance of going over, according to our model.
Pre-Game Probabilities
Last Updated: 10:03AM, Apr 5
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Columbus Crew vs. CF Montreal Odds
We have sourced the best MLS odds in America for this game, which are listed here:
Moneyline
| Columbus | Montreal | Draw |
|---|---|---|
| -170 | +450 | +295 |
Total Goals
| Over 2.5 | Under 2.5 |
|---|---|
| -148 | +122 |
All odds are correct at the time of publication and are subject to change.
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Columbus Crew vs. CF Montreal Picks and Best Bets
Our model's strongest edge in today's Columbus Crew vs. CF Montreal matchup is on the moneyline.
Our expert predictions, aligned with the latest odds, reveal the best MLS picks and MLS best bets for every game throughout the season.
Unlimited access to our full set of picks, including this one, is available via Dimers Pro.
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Columbus Crew vs. CF Montreal: Correct Score Predictions
Here are the top three most likely final scores according to our model, with a 2-0 Columbus win being the most probable:
| Final Score | Probability |
|---|---|
| COL 2-0 MTL | 11.2% |
| COL 1-0 MTL | 10.4% |
| COL 2-1 MTL | 9.8% |
These predictions are based on each team's average score after 10,000 simulations.
Columbus Crew vs. CF Montreal Game-Day Updates and Essential Details
Saturday's matchup between Columbus and Montreal in MLS at Lower.com Field is scheduled to begin at 7:30PM ET.
- Who: Columbus Crew vs. CF Montreal
- Date: Saturday, April 5, 2025
- Time: 7:30PM ET/4:30PM PT
- Venue: Lower.com Field (Columbus, Ohio)
Dimers.com's in-depth preview of Saturday's Columbus vs. Montreal matchup includes our prediction, picks and the latest betting odds.
Before making any Montreal vs. Columbus picks, be sure to check out the latest MLS predictions and betting advice from Dimers Pro.
Conclusion
According to our computer model, Columbus has a 66.8% win probability on Saturday, Montreal has a 14.0% win probability, and there is a 19.2% chance that the game will end in a draw.
AI and automation have enhanced this article to quickly deliver accurate Columbus vs. Montreal 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.
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More on MLS
Keep up with the latest MLS news and parlay picks throughout the season.
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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