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Oilers vs. Kraken prediction: Edmonton favored to win Saturday's NHL matchup [11/29/2025]

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Written by Jason Bevilacqua

Get Edmonton Oilers vs Seattle Kraken predictions for NHL Saturday.

Edmonton Oilers-Seattle Kraken Predictions and Game Preview.
Edmonton Oilers vs. Seattle Kraken NHL prediction for Saturday, November 29, 2025.

The Seattle Kraken will square off with the Edmonton Oilers in NHL action at Climate Pledge Arena on Saturday, beginning at 4:00PM ET.

Based on the latest simulations, Dimers' proven NHL model predicts the Oilers as the most likely winner of the Oilers vs. Kraken game.

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

Oilers vs. Kraken prediction: Who will win and cover?

As part of Dimers' NHL predictions coverage—and following a review of recent results—our pregame model has generated moneyline, puck line, and over/under probabilities for Saturday's clash between the Oilers and Kraken.

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

According to our model, the Kraken (+1.5) have a 66% chance of covering the puck line, while the over/under total of six goals has an equal 50-50 chance of hitting.

 

Oilers vs. Kraken odds

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

Bet Type Oilers Kraken
Puck Line -1.5 (+164) +1.5 (-190)
Moneyline -150 +130
Total o6 (-105) u6 (-115)

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

Oilers vs. Kraken 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:

Bet Type Pick Bet Now
Puck Line Kraken +1.5 -190
Moneyline Kraken +130
Total Over 6 -105

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

 

Oilers vs. Kraken player props

Who will score a goal in Oilers vs. Kraken?

According to our model, Leon Draisaitl is most likely to score an anytime goal in Oilers vs. Kraken.

Our projections give Draisaitl a 49.4% chance of scoring a goal at Climate Pledge Arena, while the star is an 11.8% chance of netting the first goal the game.

Anytime goal scorer predictions

Edmonton Oilers

Player Anytime Goal Probability
Leon Draisaitl 49.4%
Connor McDavid 39.7%
Zach Hyman 37.2%
Andrew Mangiapane 19.2%
Adam Henrique 17.3%

Seattle Kraken

Player Anytime Goal Probability
Jared McCann 26.2%
Mason Marchment 26.0%
Jordan Eberle 25.1%
Matty Beniers 22.4%
Shane Wright 20.9%

First goal scorer predictions

Edmonton Oilers

Player First Goal Probability
Leon Draisaitl 11.8%
Connor McDavid 8.6%
Zach Hyman 7.0%
Andrew Mangiapane 3.3%
Adam Henrique 3.2%

Seattle Kraken

Player First Goal Probability
Jared McCann 4.6%
Mason Marchment 4.4%
Jordan Eberle 4.3%
Matty Beniers 4.1%
Shane Wright 4.0%

Oilers vs. Kraken game-day updates and essential details

Saturday's game between the Kraken and Oilers at Climate Pledge Arena is scheduled to start at 4:00PM ET.

 

Sports betting deal available for Saturday

To make the most of the upcoming Missouri launch, check out details on the latest Bet365 bonus code "DIMERS" that grants you the best opening offer in the game. Don't miss out!

Conclusion

We predict the Oilers, with a 55% win probability, will likely beat the Kraken on Saturday.

AI and automation have enhanced this article to quickly deliver accurate Oilers vs. Kraken insights, with human oversight ensuring high editorial quality. Our predictions are sourced 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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