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Predators vs. Golden Knights prediction: Vegas favored to win Wednesday's NHL matchup [12/31/2025]

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Written by Jason Bevilacqua

Get Nashville Predators vs Vegas Golden Knights predictions for NHL Wednesday.

Nashville Predators-Vegas Golden Knights Predictions and Game Preview.
Nashville Predators vs. Vegas Golden Knights NHL prediction for Wednesday, December 31, 2025.

The Vegas Golden Knights will square off with the Nashville Predators in NHL action at T-Mobile Arena on Wednesday, starting at 3:00 PM ET.

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

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

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

Using innovative machine learning and data, we have simulated the outcome of Wednesday's NHL matchup between the Predators and Golden Knights 10,000 times as part of our NHL predictions coverage.

Our famous predictive model currently gives the Golden Knights a 61% chance of beating the Predators.

According to our model, the Predators (+1.5) have a 60% chance of covering the puck line, while the 6-goal over/under has an equal 50-50 chance of hitting.

 

Predators vs. Golden Knights odds

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

Bet Type Predators Golden Knights
Puck Line +1.5 (-170) -1.5 (+145)
Moneyline +145 -166
Total o6 (-118) u6 (-102)

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

Predators vs. Golden Knights picks and best bet

After matching our probabilities 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 +145
Moneyline Golden Knights -166
Total Under 6 -102

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

 

Predators vs. Golden Knights player props

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

According to our model, Pavel Dorofeyev is most likely to score an anytime goal in Predators vs. Golden Knights.

Our projections give Dorofeyev a 36.2% chance of scoring a goal at T-Mobile Arena, while the star is a 7.7% chance of netting the first goal the game.

Anytime goal scorer predictions

Nashville Predators

Player Anytime Goal Probability
Filip Forsberg 34.5%
Steven Stamkos 31.8%
Ryan O'Reilly 22.4%
Michael Bunting 19.0%
Luke Evangelista 18.2%

Vegas Golden Knights

Player Anytime Goal Probability
Pavel Dorofeyev 36.2%
Tomas Hertl 35.5%
Mark Stone 29.1%
Ivan Barbashev 27.3%
Mitch Marner 26.1%

First goal scorer predictions

Nashville Predators

Player First Goal Probability
Filip Forsberg 6.9%
Steven Stamkos 6.2%
Ryan O'Reilly 3.9%
Luke Evangelista 3.3%
Michael Bunting 3.1%

Vegas Golden Knights

Player First Goal Probability
Pavel Dorofeyev 7.7%
Tomas Hertl 7.4%
Mark Stone 5.7%
Mitch Marner 4.9%
Ivan Barbashev 4.8%

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

Wednesday's action between the Golden Knights and Predators at T-Mobile Arena is scheduled to begin at 3:00 PM ET.

Conclusion

We predict the Golden Knights, with a 61% win probability, will likely beat the Predators on Wednesday.

AI and automation have enhanced this article to quickly deliver accurate Predators vs. Golden Knights insights, with human oversight ensuring high editorial quality. Our predictions are drawn from 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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