San Jose Earthquakes vs. Minnesota United Prediction, Odds, MLS Picks [3/8/2025]

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Written by Jason Bevilacqua

Our expert prediction for Saturday's San Jose Earthquakes vs Minnesota United matchup.

San Jose Earthquakes-Minnesota United Predictions and Game Preview.
PayPal Park sets the stage for the MLS matchup between San Jose Earthquakes and Minnesota United this Saturday.

San Jose will take on Minnesota in MLS action at PayPal Park in San Jose, California on Saturday, commencing at 10:30PM ET.

Based on updated simulation results, Dimers' proven MLS model (see Dimers Pro for full access) predicts San Jose as the most likely winner of today's game.

"Our team has used the latest data to run 10,000 simulations of Saturday's San Jose-Minnesota game," said Ryan Leaver from Dimers.

"Based on the latest updates and extensive data, we predict a 50-50 chance for both San Jose and Minnesota, making it a highly competitive matchup."

For a closer look at Saturday's matchup, including best bets and picks, visit our interactive San Jose vs. Minnesota predictions page.

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San Jose Earthquakes vs. Minnesota United Prediction: Who Will Win?

Using trusted machine learning and data, we have simulated the outcome of Saturday's MLS game between San Jose and Minnesota 10,000 times as part of our MLS predictions coverage.

Our famous predictive model currently suggests a 37.3% chance of San Jose winning, a 37.0% chance for Minnesota, and a 25.7% chance of a draw.

Additionally, the 2.5-goal over/under has a 51% chance of going over, according to our model.

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San Jose Earthquakes vs. Minnesota United Odds

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

Moneyline

San Jose Minnesota Draw
+135 +185 +240

Total Goals

Over 2.5 Under 2.5
-128 +106

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

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Our model's strongest edge in today's San Jose Earthquakes vs. Minnesota United matchup is on the moneyline.

Our expert predictions, aligned with the latest odds, reveal the best MLS picks for every game throughout the season.

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

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San Jose Earthquakes vs. Minnesota United: Correct Score Predictions

The top three most likely final scores, according to our model, are listed below, with a 1-1 draw being the most probable:

Final Score Probability
SJE 1-1 MIN 12.2%
SJE 1-0 MIN 9%
SJE 0-1 MIN 8.9%

These predictions are based on each team's average score after 10,000 simulations, which means the most likely correct score may differ from our predicted winner.

San Jose Earthquakes vs. Minnesota United Game-Day Updates and Essential Details

Saturday's game between San Jose and Minnesota in MLS at PayPal Park is scheduled to begin at 10:30PM ET.

Dimers.com's full preview of Saturday's San Jose vs. Minnesota matchup includes our prediction, picks and the latest betting odds.

Before making any Minnesota vs. San Jose picks, be sure to check out the latest MLS predictions and betting advice from Dimers Pro.

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Conclusion

According to our computer model, San Jose has a 37.3% win probability on Saturday, Minnesota has a 37.0% win probability, and there is a 25.7% chance that the game will end in a draw.

AI and automation have enhanced this article to quickly deliver accurate San Jose vs. Minnesota insights, with human oversight ensuring high editorial quality. Our predictions are drawn 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 MLS

Keep up with the latest MLS betting news, MLS best bets and parlay picks throughout the season.

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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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