Golden Knights vs. Wild prediction: Why Minnesota is favored to win Monday's NHL matchup [10/12/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 50.9% win probability for the Wild at Grand Casino Arena.

The Vegas Golden Knights take on the Minnesota Wild in NHL action.
Vegas Golden Knights vs. Minnesota Wild NHL prediction for Monday, October 12, 2026.

The Minnesota Wild and Vegas Golden Knights will meet in the NHL at Grand Casino Arena on Monday, starting at 8:00 PM ET.

Dimers' proven NHL model gives the Wild a slight edge with a 50.9% win probability over the Golden Knights.

This article offers a complete Golden Knights vs. Wild prediction, including projected goal scorers, best bets and player prop picks.

Golden Knights vs. Wild prediction and odds

Using powerful machine learning and data, we have re-simulated the outcome of Monday's NHL game between the Golden Knights and Wild, forming part of our NHL predictions coverage.

Our independent predictive model gives the Wild a 50.9% chance of defeating the Golden Knights. According to our model, the Golden Knights (+1.5) have a 69.9% chance of covering the puck line, while the over/under total of six goals has a 50.6% chance of staying under.

 

Latest betting odds

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

  • Puck Line: Golden Knights +1.5 (-270) / Wild -1.5 (+230)
  • Moneyline: Golden Knights -106, Wild -106
  • Total: Over/Under 6 (-106/-110)

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

Model picks and best bet

After matching our probabilities against the best current odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

  • Puck line: Wild -1.5 @ +230 via DraftKings
  • Moneyline: Wild @ -106 via BetRivers
  • Total: Under 6 @ -110 via BetMGM

According to our NHL best bets, the top play to make on this game is Wild -1.5 at the spread.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Golden Knights vs. Wild player props

Who will score a goal in Golden Knights vs. Wild?

According to our model, Kirill Kaprizov is most likely to score an anytime goal in Golden Knights vs. Wild.

Our projections give Kaprizov a 47.6% chance of scoring a goal at Grand Casino Arena, while the star is an 11.1% chance of registering the first goal the game.

Anytime goal scorer predictions

Vegas Golden Knights

  • Mark Stone: 33.4% probability
  • Jack Eichel: 29.9% probability
  • Trevor Connelly: 28.0% probability
  • Mitch Marner: 25.6% probability
  • Tomas Hertl: 24.8% probability

Minnesota Wild

  • Kirill Kaprizov: 47.6% probability
  • Matt Boldy: 40.6% probability
  • Joel Ek: 24.2% probability
  • Blake Coleman: 21.6% probability
  • Ryan Hartman: 20.4% probability

First goal scorer predictions

Vegas Golden Knights

  • Mark Stone: 6.6% probability
  • Jack Eichel: 5.7% probability
  • Trevor Connelly: 5.2% probability
  • Mitch Marner: 5.0% probability
  • Tomas Hertl: 4.6% probability

Minnesota Wild

  • Kirill Kaprizov: 11.1% probability
  • Matt Boldy: 8.1% probability
  • Joel Ek: 4.6% probability
  • Blake Coleman: 3.9% probability
  • Ryan Hartman: 3.5% probability

Game info & puck drop details

Monday's game between the Wild and Golden Knights at Grand Casino Arena is scheduled to begin at 8:00 PM ET.

Conclusion

We predict the Wild, with a 50.9% win probability, will likely beat the Golden Knights in Monday's NHL matchup.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary NHL prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.

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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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