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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:

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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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