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Devils vs. Golden Knights prediction: Vegas favored to win Wednesday's NHL matchup [12/17/2025]

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Written by Jason Bevilacqua

Get New Jersey Devils vs Vegas Golden Knights predictions for NHL Wednesday.

New Jersey Devils-Vegas Golden Knights Predictions and Game Preview.
New Jersey Devils vs. Vegas Golden Knights NHL prediction for Wednesday, December 17, 2025.

NHL action continues on Wednesday at 10:00 PM ET as the New Jersey Devils square off with the Vegas Golden Knights at T-Mobile Arena.

Based on the latest simulation results, Dimers' advanced NHL model predicts the Golden Knights as the most likely winner of the Devils vs. Golden Knights game.

This article offers an expanded analysis of Wednesday's matchup, including projected goal scorers, best bets and player prop picks.

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

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

Our famous predictive model gives the Golden Knights a 61% chance of defeating the Devils.

According to our model, the Devils (+1.5) have a 62% chance of covering the puck line, while the over/under total of 5.5 goals has a 51% chance of going over.

 

Devils vs. Golden Knights odds

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

Bet Type Devils Golden Knights
Puck Line +1.5 (-165) -1.5 (+142)
Moneyline +154 -182
Total o5.5 (-102) u5.5 (-110)

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

Devils vs. Golden Knights picks and best bet

After matching our probabilities 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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