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Twins vs Giants Prediction and MLB Tips - 12 May 2025

The Minnesota Twins will sqaure off with the San Francisco Giants in MLB action at Target Field on Monday, beginning at 4:10am AEST.

Pablo López (3-2, 2.18 ERA) will be on the bump for the Twins, pitting him against Landen Roupp (2-3, 4.89 ERA) for the Giants.

This article features Stats Insider's best betting tips for the Twins vs Giants game, plus the latest betting odds in Australia.

Who Will Win?

Utilising trusted machine learning and data, Stats Insider has simulated the result of Monday's Minnesota vs San Francisco MLB match-up 10,000 times.

Our independent predictive analytics model gives the Twins a 60% chance of winning against the Giants at Target Field.

Twins vs Giants: Odds

The current betting odds in Australia for Monday's MLB game at Target Field are listed here:

  • Head to Head: Twins $1.61, Giants $2.40
  • Line: Twins -1.5 ($2.35), Giants +1.5 ($1.62)
  • Total (Over/Under 8.5 Runs): Over $1.91, Under $1.91

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

Looking at the latest head-to-head odds, the bookmakers currently have the Twins at $1.61 and the Giants at $2.40.

The Twins are 1.5-run favourites against the Giants, with odds of $2.35 available at TAB.

For the underdog Giants (+1.5) to cover the line, TAB offers odds of $1.62.

The over/under for total runs scored is set at 8.5 with TAB, which has odds of $1.91 for the over and $1.91 for the under.

According to Stats Insider's model, the Giants (+1.5) are predicted to cover the line 60% of the time, while the 8.5-run over/under is expected to stay under 55% of the time.

Twins vs Giants: Best Bets

  • Head to Head: San Francisco at $2.40 with TAB
  • Line: Giants +1.5 at $1.62 with TAB
  • Total Runs: Under 8.5 at $1.91 with TAB

These Twins vs Giants predictions are based on detailed simulations and gambling intelligence to bring you the best possible advice every time.

While the Twins have a higher chance of winning the game, betting on the Giants to win is our recommended option due to the edge found when comparing our data-driven probabilities to the odds currently on offer.

Making use of the edges seen on Stats Insider is pivotal to being a profitable punter in the long run.

Twins vs Giants: Prediction

Stats Insider provides full coverage of the Minnesota vs San Francisco game on Monday, including data-driven predictions and the best betting tips.

Remember, our model updates regularly, so keep checking this article for the latest betting analysis before the Minnesota vs San Francisco game.

As always, see Stats Insider's Best Bets to get the best tips on every MLB game, as well as predictions for a wide range of other sports.

Twins vs Giants: Essential Details

The match-up between the Twins and Giants at Target Field is scheduled to begin at 4:10am AEST on Monday.

All dates and times mentioned in this article are in Australian Eastern Standard Time (AEST), unless otherwise noted.

Conclusion

Our Minnesota vs San Francisco predictions are the result of 10,000 data-driven simulations of the game, carefully curated by our team of expert data scientists and analysts. We use cutting-edge technology and machine learning to ensure our MLB tips are accurate and reliable, giving you the confidence to make informed decisions.

If you choose to use our predictions for betting purposes, it's crucial to gamble responsibly and manage your finances effectively. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

More on MLB

Stats Insider is your go-to source for betting on the MLB in Australia, with the latest MLB betting news, tips for every MLB game, and futures odds for the MLB.

Stats Insider

Stats Insider, Australia's leading predictive analytics website, offers Australian sports fans innovative tools and content to enhance their enjoyment of major sporting events both domestically and internationally. Our goal is to transform the sports fan experience by providing readily accessible, data-driven content for sports enthusiasts like us.

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