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Jets vs. Wild prediction: Why Winnipeg is favored to win Tuesday's NHL matchup [10/28/2025]

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Written by Jason Bevilacqua

Get Winnipeg Jets vs Minnesota Wild predictions for NHL Tuesday.

Winnipeg Jets-Minnesota Wild Predictions and Game Preview.
Winnipeg Jets vs. Minnesota Wild NHL prediction for Tuesday, October 28, 2025.

The Minnesota Wild will face the Winnipeg Jets, in what is expected to be a tight NHL game, at Grand Casino Arena on Tuesday, commencing at 8:00PM ET.

Based on updated simulation results, Dimers' advanced NHL model predicts the Jets as the most likely winner of the Jets vs. Wild game.

This article offers a closer look at Tuesday's matchup, including goal scorer projections, best bets and player prop picks.

Jets vs. Wild prediction: Who will win, cover the puck line?

Using trusted machine learning and data analysis, we have simulated the outcome of Tuesday's NHL game between the Jets and Wild 10,000 times as part of our NHL predictions coverage.

Our famous predictive model gives the Jets a 54% chance of beating the Wild.

According to our model, the Wild (+1.5) have a 68% chance of covering the puck line, while the 5.5-goal over/under has a 51% chance of going over.

 

Jets vs. Wild odds

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

Bet Type Jets Wild
Puck Line -1.5 (+215) +1.5 (-250)
Moneyline -111 -105
Total o5.5 (-130) u5.5 (+110)

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

Jets vs. Wild picks and best bet

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

Bet Type Pick Bet Now
Puck Line Jets -1.5 +215
Moneyline Jets -111
Total Under 5.5 +110

According to our NHL best bets, the top play to make on this game is Under 5.5 total goals.

 

Jets vs. Wild player props

Who will score a goal in Jets vs. Wild?

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

Our projections give Kaprizov a 41.1% chance of scoring a goal at Grand Casino Arena, while the star is a 9.0% chance of netting the first goal the game.

Anytime goal scorer predictions

Winnipeg Jets

Player Anytime Goal Probability
Kyle Connor 38.8%
Mark Scheifele 38.7%
Gabriel Vilardi 30.7%
Jonathan Toews 25.7%
Nino Niederreiter 18.6%

Minnesota Wild

Player Anytime Goal Probability
Kirill Kaprizov 41.1%
Matt Boldy 28.9%
Joel Ek 24.1%
Marco Rossi 20.7%
Ryan Hartman 16.2%

First goal scorer predictions

Winnipeg Jets

Player First Goal Probability
Mark Scheifele 9.1%
Kyle Connor 8.1%
Gabriel Vilardi 6.1%
Jonathan Toews 5.2%
Nino Niederreiter 3.5%

Minnesota Wild

Player First Goal Probability
Kirill Kaprizov 9.0%
Matt Boldy 6.0%
Joel Ek 4.2%
Marco Rossi 3.9%
Ryan Hartman 3.2%

Jets vs. Wild game-day updates and essential details

Tuesday's action between the Wild and Jets at Grand Casino Arena is scheduled to commence at 8:00PM ET.

Conclusion

We predict the Jets, with a 54% win probability, will likely beat the Wild on Tuesday.

AI and automation have enhanced this article to quickly deliver accurate Jets vs. Wild 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.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

More on NHL

Keep up with the latest NHL news and parlay picks throughout the season. Plus, our Stanley Cup odds offer the latest projections for the Stanley Cup title.

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.

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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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