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Avalanche vs. Golden Knights prediction: Colorado favored to win Saturday's NHL matchup [12/27/2025]

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Written by Jason Bevilacqua

Get Colorado Avalanche vs Vegas Golden Knights predictions for NHL Saturday.

Colorado Avalanche-Vegas Golden Knights Predictions and Game Preview.
Colorado Avalanche vs. Vegas Golden Knights NHL prediction for Saturday, December 27, 2025.

The Vegas Golden Knights will take on the Colorado Avalanche in NHL action at T-Mobile Arena on Saturday, starting at 10:00 PM ET.

Based on the latest simulations, Dimers' proven NHL model projects the Avalanche as the most likely winner of the Avalanche vs. Golden Knights game.

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

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

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

Our independent predictive model gives the Avalanche a 56% chance of beating the Golden Knights.

According to our model, the Golden Knights (+1.5) have a 65% chance of covering the puck line, while the 6-goal over/under has a 51% chance of staying under.

 

Avalanche vs. Golden Knights odds

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

Bet Type Avalanche Golden Knights
Puck Line -1.5 (+164) +1.5 (-190)
Moneyline -150 +130
Total o6 (-120) u6 (+100)

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

Avalanche vs. Golden Knights 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:

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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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