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Stars vs. Wild prediction: Why Minnesota is favored to win Wednesday's NHL matchup [4/22/2026]

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Written by Jason Bevilacqua

Get Dallas Stars vs Minnesota Wild predictions for NHL Wednesday.

Dallas Stars-Minnesota Wild Predictions and Game Preview.
Dallas Stars vs. Minnesota Wild NHL prediction for Wednesday, April 22, 2026.

The Minnesota Wild will face the Dallas Stars in the 2026 NHL Playoffs at Grand Casino Arena on Wednesday, beginning at 9:30 PM ET.

Based on updated simulation results, Dimers' proven NHL model gives the Wild a slight edge with a 53% win probability over the Stars.

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

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

Using trusted machine learning and data, we have simulated the outcome of Wednesday's NHL Playoffs game between the Stars and Wild, forming part of our NHL predictions coverage.

Our leading predictive model currently gives the Wild a 53% chance of beating the Stars.

According to our model, the Stars (+1.5) have a 68% chance of covering the puck line, while the over/under total of 5.5 goals has a 54% chance of going over.

 

Stars vs. Wild odds

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

Bet Type Stars Wild
Puck Line +1.5 (-218) -1.5 (+185)
Moneyline +115 -130
Total o5.5 (+105) u5.5 (+104)

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

Stars 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 Stars +1.5 -218
Moneyline Stars +115
Total Over 5.5 +105

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.

 

Stars vs. Wild player props

Who will score a goal in Stars vs. Wild?

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

Our projections give Kaprizov a 42.3% chance of scoring a goal at Grand Casino Arena, while the star is a 9.2% chance of registering the first goal the game.

Anytime goal scorer predictions

Dallas Stars

Player Anytime Goal Probability
Wyatt Johnston 35.3%
Jason Robertson 34.7%
Mikko Rantanen 30.1%
Matt Duchene 23.5%
Mavrik Bourque 23.2%

Minnesota Wild

Player Anytime Goal Probability
Kirill Kaprizov 42.3%
Matt Boldy 27.8%
Ryan Hartman 23.8%
Joel Ek 22.9%
Danila Yurov 20.5%

First goal scorer predictions

Dallas Stars

Player First Goal Probability
Jason Robertson 7.4%
Wyatt Johnston 7.4%
Mikko Rantanen 5.6%
Matt Duchene 4.5%
Mavrik Bourque 4.2%

Minnesota Wild

Player First Goal Probability
Kirill Kaprizov 9.2%
Matt Boldy 5.6%
Joel Ek 4.2%
Ryan Hartman 4.2%
Danila Yurov 3.8%

Stars vs. Wild game-day updates and essential details

Wednesday's game between the Wild and Stars in the Stanley Cup Playoffs is scheduled to begin at 9:30 PM ET.

The Stanley Cup Playoffs (aka NHL Playoffs) is an elimination tournament in the National Hockey League to determine the winner of the Stanley Cup.

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

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

Conclusion

We predict the Wild, with a 53% win probability, will likely beat the Stars in Wednesday'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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