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Wild vs. Stars prediction: Dallas favored to win Tuesday's NHL matchup [4/28/2026]

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Written by Jason Bevilacqua

Get Minnesota Wild vs Dallas Stars predictions for NHL Tuesday.

Minnesota Wild-Dallas Stars Predictions and Game Preview.
Minnesota Wild vs. Dallas Stars NHL prediction for Tuesday, April 28, 2026.

NHL action continues on Tuesday at 8:00 PM ET as the Minnesota Wild square off with the Dallas Stars in the 2026 Stanley Cup Playoffs at American Airlines Center.

Based on the latest simulations, Dimers' proven NHL model gives the Stars a slight edge with a 54% win probability over the Wild.

This article offers an expanded analysis of Tuesday's Wild vs. Stars matchup, including projected goal scorers, best bets and player prop picks.

Wild vs. Stars prediction: Who will win and cover?

Using powerful machine learning and statistical analysis, we have simulated the result of Tuesday's NHL Playoffs matchup between the Wild and Stars, forming part of our NHL predictions coverage.

Our leading predictive model gives the Stars a 54% chance of defeating 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 54% chance of going over.

 

Wild vs. Stars odds

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

Bet Type Wild Stars
Puck Line +1.5 (-235) -1.5 (+198)
Moneyline +105 -122
Total o5.5 (-120) u5.5 (+102)

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

Wild vs. Stars picks and best bet

After matching our predictions against the best available 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 Stars -1.5 +198
Moneyline Stars -122
Total Over 5.5 -120

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

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

 

Wild vs. Stars player props

Who will score a goal in Wild vs. Stars?

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

Our projections give Kaprizov a 38.7% chance of scoring a goal at American Airlines Center, while the star is an 8.5% chance of registering the first goal the game.

Anytime goal scorer predictions

Minnesota Wild

Player Anytime Goal Probability
Kirill Kaprizov 38.7%
Matt Boldy 26.6%
Joel Ek 20.5%
Ryan Hartman 19.0%
Danila Yurov 18.3%

Dallas Stars

Player Anytime Goal Probability
Jason Robertson 36.9%
Wyatt Johnston 36.4%
Mikko Rantanen 34.4%
Matt Duchene 24.9%
Mavrik Bourque 23.1%

First goal scorer predictions

Minnesota Wild

Player First Goal Probability
Kirill Kaprizov 8.5%
Matt Boldy 5.2%
Ryan Hartman 3.9%
Joel Ek 3.6%
Danila Yurov 3.3%

Dallas Stars

Player First Goal Probability
Wyatt Johnston 7.4%
Jason Robertson 7.2%
Mikko Rantanen 7.1%
Matt Duchene 4.5%
Mavrik Bourque 3.9%

Wild vs. Stars game-day updates and essential details

Tuesday's matchup between the Stars and Wild in the Stanley Cup Playoffs is scheduled to commence at 8:00 PM ET.

The Stanley Cup Playoffs is an elimination tournament in the NHL to determine the winner of the Stanley Cup.

A total of 16 teams, including the Wild and Stars, made the 2026 NHL Playoffs, which consists of four rounds: the First Round, Second Round, Conference Finals and Stanley Cup Finals.

Each round of the NHL Playoffs is contested as a best-of-seven series, with the first team to four wins advancing to the next round until a champion is crowned.

Conclusion

We predict the Stars, with a 54% win probability, will likely beat the Wild in Tuesday's NHL matchup.

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

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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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