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Portland Timbers vs. San Jose Earthquakes Prediction, Odds, Picks, and MLS Season Pass Discount Code [6/13/2025]

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Written by Jason Bevilacqua

Our expert prediction for Friday's Portland Timbers vs San Jose Earthquakes matchup.

Portland Timbers-San Jose Earthquakes Predictions and Game Preview.
sets the stage for the MLS matchup between Portland Timbers and San Jose Earthquakes this Friday.

MLS action continues on Friday at 10:30PM ET as San Jose takes on Portland at .

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

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"Employing the latest data, our experts simulated Friday's Portland-San Jose game 10,000 times," said Ryan Leaver from Dimers.

"By incorporating recent updates and various factors, our prediction gives Portland a 52.7% chance of winning, San Jose a 26.1% chance, and a 21.2% chance of a draw."

For expanded analysis of Friday's matchup, including best bets and picks, visit our interactive Portland vs. San Jose predictions page.

Portland Timbers vs. San Jose Earthquakes Prediction: Who Will Win?

Using powerful machine learning and statistical analysis, we have simulated the result of Friday's MLS matchup between Portland and San Jose 10,000 times as part of our MLS predictions coverage.

Our famous predictive model currently suggests a 52.7% chance of Portland winning, a 26.1% chance for San Jose, and a 21.2% chance of a draw.

 

Portland Timbers vs. San Jose Earthquakes Odds

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

Market Portland San Jose Draw
Moneyline +140 +175 +280

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

Make the most of your sports betting experience by exploring our comprehensive list of US betting apps, and the latest sportsbooks in 2025, ensuring you never miss a top new-user deal.

Portland Timbers vs. San Jose Earthquakes Picks and Best Bets

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

Our expert predictions, matched against the current odds, reveal the best MLS picks and MLS best bets for every game throughout the season.

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


Portland Timbers vs. San Jose Earthquakes: Correct Score Predictions

The top three most likely final scores, according to our model, are listed below, with a 2-1 Portland win being the most probable:

Final Score Probability
POT 2-1 SJE 9.3%
POT 1-1 SJE 8.9%
POT 2-2 SJE 6.6%

These predictions are based on each team's average score after 10,000 simulations.

Portland Timbers vs. San Jose Earthquakes Game-Day Updates and Essential Details

Friday's matchup between Portland and San Jose is scheduled to begin at 10:30PM ET.

Dimers.com's comprehensive preview of Friday's Portland vs. San Jose matchup includes our prediction, picks and the latest betting odds.

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

Conclusion

According to our computer model, Portland has a 52.7% win probability on Friday, San Jose has a 26.1% win probability, and there is a 21.2% chance that the game will end in a draw.

AI and automation have enhanced this article to quickly deliver accurate Portland vs. San Jose 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 MLS

Keep up with the latest MLS betting news 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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