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Golden Knights vs. Oilers prediction: Why Edmonton is favored to win Saturday's NHL matchup [4/4/2026]

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Written by Jason Bevilacqua

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

Vegas Golden Knights-Edmonton Oilers Predictions and Game Preview.
Vegas Golden Knights vs. Edmonton Oilers NHL prediction for Saturday, April 4, 2026.

The Edmonton Oilers will face the Vegas Golden Knights, in what is expected to be a tight NHL game, at Rogers Place on Saturday, starting at 10:00 PM ET.

Based on updated simulation results, Dimers' advanced NHL model gives the Oilers a slight edge with a 52% win probability over the Golden Knights.

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

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

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

Our famous predictive model gives the Oilers a 52% chance of defeating the Golden Knights.

According to our model, the Golden Knights (+1.5) have a 69% chance of covering the puck line, while the 6.5-goal over/under has a 52% chance of staying under.

 

Golden Knights vs. Oilers odds

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

Bet Type Golden Knights Oilers
Puck Line +1.5 (-250) -1.5 (+215)
Moneyline -105 -106
Total o6.5 (-102) u6.5 (-110)

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 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 Oilers -1.5 +215
Moneyline Oilers -106
Total Under 6.5 -110

According to our NHL best bets, the top play to make on this game is Oilers to win.

These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.

 

Golden Knights vs. Oilers player props

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

According to our model, Connor McDavid is most likely to score an anytime goal in Golden Knights vs. Oilers.

Our projections give McDavid a 43.7% chance of scoring a goal at Rogers Place, while the star is a 9.6% chance of netting the first goal the game.

Anytime goal scorer predictions

Vegas Golden Knights

Player Anytime Goal Probability
Pavel Dorofeyev 38.0%
Jack Eichel 34.4%
Mitch Marner 29.1%
Mark Stone 25.2%
Tomas Hertl 24.9%

Edmonton Oilers

Player Anytime Goal Probability
Connor McDavid 43.7%
Ryan Nugent-Hopkins 28.0%
Matt Savoie 25.4%
Jack Roslovic 24.8%
Evan Bouchard 21.6%

First goal scorer predictions

Vegas Golden Knights

Player First Goal Probability
Pavel Dorofeyev 7.8%
Jack Eichel 6.2%
Mitch Marner 5.0%
Tomas Hertl 4.6%
Mark Stone 4.4%

Edmonton Oilers

Player First Goal Probability
Connor McDavid 9.6%
Ryan Nugent-Hopkins 4.8%
Matt Savoie 4.8%
Jack Roslovic 4.2%
Evan Bouchard 3.7%

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

Saturday's action between the Oilers and Golden Knights at Rogers Place is scheduled to begin at 10:00 PM ET.

Conclusion

We predict the Oilers, with a 52% win probability, will likely beat the Golden Knights on Saturday.

AI and automation have enhanced this article to quickly deliver accurate Golden Knights vs. Oilers 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, head to our responsible gambling hub.

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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