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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 square off with the Colorado Avalanche in NHL action at T-Mobile Arena on Saturday, commencing at 10:00 PM ET.

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

This article offers further insights into Saturday's matchup, including projected goal scorers, best bets and player prop picks.

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

Using powerful machine learning and data, 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 currently gives the Avalanche a 57% chance of defeating the Golden Knights.

According to our model, the Golden Knights (+1.5) have a 65% chance of covering the puck line, while the over/under total of six goals 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 (+160) +1.5 (-188)
Moneyline -150 +132
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:

Bet Type Pick Bet Now
Puck Line Golden Knights +1.5 -188
Moneyline Golden Knights +132
Total Under 6 +100

According to our NHL best bets, the top play to make on this game is Under 6 total goals.

 

Avalanche vs. Golden Knights player props

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

According to our model, Nathan MacKinnon is most likely to score an anytime goal in Avalanche vs. Golden Knights.

Our projections give MacKinnon a 36.5% chance of scoring a goal at T-Mobile Arena, while the star is a 7.6% chance of netting the first goal the game.

Anytime goal scorer predictions

Colorado Avalanche

Player Anytime Goal Probability
Nathan MacKinnon 36.5%
Brock Nelson 26.8%
Valeri Nichushkin 26.8%
Gabriel Landeskog 26.0%
Artturi Lehkonen 24.0%

Vegas Golden Knights

Player Anytime Goal Probability
Tomas Hertl 33.3%
Pavel Dorofeyev 32.2%
Mitch Marner 26.2%
Mark Stone 25.9%
Ivan Barbashev 23.8%

First goal scorer predictions

Colorado Avalanche

Player First Goal Probability
Nathan MacKinnon 7.6%
Brock Nelson 5.2%
Gabriel Landeskog 5.0%
Valeri Nichushkin 4.8%
Artturi Lehkonen 4.3%

Vegas Golden Knights

Player First Goal Probability
Tomas Hertl 6.2%
Pavel Dorofeyev 5.8%
Mitch Marner 5.1%
Ivan Barbashev 4.7%
Mark Stone 4.6%

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

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

Conclusion

We predict the Avalanche, with a 57% win probability, will likely beat the Golden Knights on Saturday.

AI and automation have enhanced this article to quickly deliver accurate Avalanche vs. Golden Knights insights, with human oversight ensuring high editorial quality. Our predictions are based on the latest 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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