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Oilers vs. Golden Knights prediction: Vegas favored to win Thursday's NHL matchup [3/26/2026]

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Written by Jason Bevilacqua

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

Edmonton Oilers-Vegas Golden Knights Predictions and Game Preview.
Edmonton Oilers vs. Vegas Golden Knights NHL prediction for Thursday, March 26, 2026.

The Vegas Golden Knights will take on the Edmonton Oilers, in what is expected to be a close NHL game, at T-Mobile Arena on Thursday, beginning at 9:30 PM ET.

Based on the latest simulation results, Dimers' proven NHL model gives the Golden Knights a slight edge with a 54% win probability over the Oilers.

This article offers an expanded analysis of Thursday's Oilers vs. Golden Knights matchup, including projected goal scorers, best bets and player prop picks.

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

Using trusted machine learning and data, we have simulated the result of Thursday's NHL game between the Oilers and Golden Knights, forming part of our NHL predictions coverage.

Our famous predictive model currently gives the Golden Knights a 54% chance of defeating the Oilers.

According to our model, the Oilers (+1.5) have a 67% chance of covering the puck line, while the 6.5-goal over/under has a 52% chance of staying under.

 

Oilers vs. Golden Knights odds

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

Bet Type Oilers Golden Knights
Puck Line +1.5 (-215) -1.5 (+185)
Moneyline +115 -135
Total o6.5 (-114) u6.5 (-105)

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

Oilers 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:

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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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