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Giants vs. Twins Prediction: Minnesota Predicted to Win Sunday's MLB Matchup [5/11/2025]

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Written by Jason Bevilacqua

Our expert prediction for Sunday's San Francisco Giants vs Minnesota Twins matchup.

San Francisco Giants-Minnesota Twins Predictions and Game Preview.
Target Field sets the stage for the MLB matchup between the San Francisco Giants and Minnesota Twins this Sunday.

The Minnesota Twins will take on the San Francisco Giants in MLB action at Target Field on Sunday, commencing at 2:10PM ET.

The Twins will send Pablo López (3-2, 2.18 ERA) to the mound, while the Giants are going with Landen Roupp (2-3, 4.89 ERA).

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

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

"After accounting for recent updates and other variables, our prediction shows the Twins with a win probability of 60%, while the Giants have 40%."

For a closer look at Sunday's matchup, including best bets and picks, visit our interactive Giants vs. Twins predictions page.

Twins vs. Giants Prediction: Who Will Win, Cover the Run Line?

Using innovative machine learning and data analysis, we have simulated the result of Sunday's MLB game between the Giants and Twins 10,000 times as part of our MLB predictions coverage.

Our famous predictive model gives the Twins a 60% chance of defeating the Giants.

According to our model, the Giants (+1.5) have a 60% chance of covering the run line, while the over/under total of 8.5 runs has a 53% chance of staying under.

 

Giants vs. Twins Odds [5/11/2025]

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

Bet Type Giants Twins
Run Line +1.5 (-154) -1.5 (+140)
Moneyline +138 -160
Total o8.5 (-102) u8.5 (-115)

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.

Giants vs. Twins Picks and Best Bets

Our model's strongest edge in today's Giants vs. Twins matchup is on the run line.

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

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

Calling Our Shot's Best Bets Video

Calling Our Shot produces daily MLB betting content, including the best bets featured below.

Giants vs. Twins Game-Day Updates and Essential Details

Sunday's MLB action between the Twins and Giants at Target Field is scheduled to commence at 2:10PM ET.

Dimers.com's comprehensive preview of Sunday's Giants vs. Twins matchup includes our prediction, picks and the latest betting odds.

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

Key MLB Betting Guides and Insights

Conclusion

We predict the Twins, with a 60% win probability, will likely beat the Giants on Sunday.

AI and automation have enhanced this article to quickly deliver accurate Giants vs. Twins insights, with human oversight ensuring high editorial quality. Our predictions are based on up-to-date 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 MLB

Stay up-to-date with the latest MLB news and MLB parlay picks throughout the season. Plus, our World Series odds offer the most accurate predictions for the World Series, American League, National League and each division.

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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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