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Wild vs. Golden Knights prediction: Vegas favored to win Friday's NHL matchup [3/6/2026]

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Written by Jason Bevilacqua

Get Minnesota Wild vs Vegas Golden Knights predictions for NHL Friday.

Minnesota Wild-Vegas Golden Knights Predictions and Game Preview.
Minnesota Wild vs. Vegas Golden Knights NHL prediction for Friday, March 6, 2026.

NHL action continues on Friday at 10:00 PM ET as the Minnesota Wild take on the Vegas Golden Knights at T-Mobile Arena.

Based on the latest simulation results, Dimers' proven NHL model gives the Golden Knights a slight edge with a 51% win probability over the Wild.

This article offers further insights into Friday's Wild vs. Golden Knights matchup, including projected goal scorers, best bets and player prop picks.

Wild vs. Golden Knights prediction: Who will win and cover?

Using trusted machine learning and statistical analysis, we have simulated the outcome of Friday's NHL matchup between the Wild and Golden Knights 10,000 times as part of our NHL predictions coverage.

Our independent predictive model currently gives the Golden Knights a 51% chance of beating the Wild.

According to our model, the Golden Knights (+1.5) have a 72% chance of covering the puck line, while the 6-goal over/under has a 51% chance of going over.

 

Wild vs. Golden Knights odds

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

Bet Type Wild Golden Knights
Puck Line -1.5 (+220) +1.5 (-270)
Moneyline -108 -110
Total o6 (-120) u6 (+100)

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

Wild vs. Golden Knights 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 Golden Knights +1.5 -270
Moneyline Golden Knights -110
Total Under 6 +100

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

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

 

Wild vs. Golden Knights player props

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

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

Our projections give Kaprizov a 44.9% chance of scoring a goal at T-Mobile Arena, while the star is a 9.1% chance of netting the first goal the game.

Anytime goal scorer predictions

Minnesota Wild

Player Anytime Goal Probability
Kirill Kaprizov 44.9%
Matt Boldy 32.6%
Joel Ek 26.7%
Mats Zuccarello 23.3%
Danila Yurov 21.0%

Vegas Golden Knights

Player Anytime Goal Probability
Pavel Dorofeyev 40.2%
Jack Eichel 34.9%
Tomas Hertl 34.4%
Mitch Marner 30.0%
Ivan Barbashev 27.0%

First goal scorer predictions

Minnesota Wild

Player First Goal Probability
Kirill Kaprizov 9.1%
Matt Boldy 6.3%
Joel Ek 5.0%
Mats Zuccarello 4.2%
Danila Yurov 3.8%

Vegas Golden Knights

Player First Goal Probability
Pavel Dorofeyev 8.4%
Jack Eichel 7.1%
Tomas Hertl 6.3%
Mitch Marner 5.5%
Ivan Barbashev 4.7%

Wild vs. Golden Knights game-day updates and essential details

Friday's matchup between the Golden Knights and Wild at T-Mobile Arena is scheduled to start at 10:00 PM ET.

Conclusion

We predict the Golden Knights, with a 51% win probability, will likely beat the Wild on Friday.

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

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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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