Wild vs. Predators prediction favors Minnesota to win Thursday's NHL matchup [10/1/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 55.6% win probability for the Wild at Bridgestone Arena.

The Minnesota Wild take on the Nashville Predators in NHL action.
Minnesota Wild vs. Nashville Predators NHL prediction for Thursday, October 1, 2026.

The Nashville Predators and Minnesota Wild will meet in the NHL at Bridgestone Arena on Thursday, starting at 8:00 PM ET.

Dimers' proven NHL model projects the Wild as the most likely winner in this Wild vs. Predators prediction.

This article offers a closer look at Thursday's matchup, including projected goal scorers, best bets and player prop picks.

Wild vs. Predators prediction and odds

Using powerful machine learning and data, we have re-simulated the result of Thursday's NHL matchup between the Wild and Predators, forming part of our NHL predictions coverage.

Our independent predictive model currently gives the Wild a 55.6% chance of defeating the Predators. According to our model, the Predators (+1.5) have a 66.3% chance of covering the puck line, while the 6-goal over/under has a 50.2% chance of staying under.

 

Latest betting odds

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

  • Puck Line: Wild -1.5 (+172) / Predators +1.5 (-200)
  • Moneyline: Wild -145, Predators +126
  • Total: Over/Under 6 (-115/-105)

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

Model picks and best bet

After matching our predictions against the best available 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: Predators +1.5 @ -200 via BetMGM
  • Moneyline: Predators @ +126 via FanDuel
  • Total: Under 6 @ -105 via BetMGM

According to our NHL best bets, the top play to make on this game is Predators to win.

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

Wild vs. Predators player props

Who will score a goal in Wild vs. Predators?

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

Our projections give Kaprizov a 44.5% chance of scoring a goal at Bridgestone Arena, while the star is a 9.5% chance of netting the first goal the game.

Anytime goal scorer predictions

Minnesota Wild

  • Kirill Kaprizov: 44.5% probability
  • Matt Boldy: 39.7% probability
  • Ryan Hartman: 26.3% probability
  • Joel Ek: 24.6% probability
  • Blake Coleman: 24.1% probability

Nashville Predators

  • Filip Forsberg: 36.7% probability
  • Steven Stamkos: 36.5% probability
  • Ryan O'Reilly: 24.9% probability
  • Matthew Wood: 23.3% probability
  • Jonathan Marchessault: 19.2% probability

First goal scorer predictions

Minnesota Wild

  • Kirill Kaprizov: 9.5% probability
  • Matt Boldy: 8.0% probability
  • Joel Ek: 5.3% probability
  • Ryan Hartman: 4.5% probability
  • Blake Coleman: 3.8% probability

Nashville Predators

  • Steven Stamkos: 7.1% probability
  • Filip Forsberg: 7.0% probability
  • Matthew Wood: 4.5% probability
  • Ryan O'Reilly: 4.4% probability
  • Jonathan Marchessault: 3.5% probability

Game info & puck drop details

Thursday's game between the Predators and Wild at Bridgestone Arena is scheduled to commence at 8:00 PM ET.

Conclusion

We predict the Wild, with a 55.6% win probability, will likely beat the Predators in Thursday'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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