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Golden Knights vs. Oilers prediction: Why Edmonton is favored to win Sunday's NHL matchup [12/21/2025]

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Written by Jason Bevilacqua

Get Vegas Golden Knights vs Edmonton Oilers predictions for NHL Sunday.

Vegas Golden Knights-Edmonton Oilers Predictions and Game Preview.
Vegas Golden Knights vs. Edmonton Oilers NHL prediction for Sunday, December 21, 2025.

The Edmonton Oilers and Vegas Golden Knights will meet in the NHL at Rogers Place on Sunday, with puck drop at 8:00 PM ET.

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

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

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

Using trusted machine learning and data, we have simulated the result of Sunday's NHL matchup between the Golden Knights and Oilers 10,000 times as part of our NHL predictions coverage.

Our leading predictive model gives the Oilers a 55% chance of beating the Golden Knights.

According to our model, the Golden Knights (+1.5) have a 67% chance of covering the puck line, while the over/under total of six goals has a 51% chance of going over.

 

Golden Knights vs. Oilers odds

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

Bet Type Golden Knights Oilers
Puck Line +1.5 (-210) -1.5 (+180)
Moneyline +118 -135
Total o6 (-118) u6 (-102)

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

Golden Knights vs. Oilers 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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