Kraken vs. Oilers prediction: Why Edmonton is favored to win Saturday's NHL matchup [10/3/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 61.8% win probability for the Oilers at Rogers Place.

The Seattle Kraken take on the Edmonton Oilers in NHL action.
Seattle Kraken vs. Edmonton Oilers NHL prediction for Saturday, October 3, 2026.

The Edmonton Oilers and Seattle Kraken will meet in the NHL at Rogers Place on Saturday, starting at 7:00 PM ET.

Dimers' advanced NHL model projects the Oilers as the most likely winner in this Kraken vs. Oilers prediction.

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

Kraken vs. Oilers prediction and odds

Using trusted machine learning and data analysis, we have re-simulated the result of Saturday's NHL matchup between the Kraken and Oilers, forming part of our NHL predictions coverage.

Our independent predictive model currently gives the Oilers a 61.8% chance of beating the Kraken. According to our model, the Kraken (+1.5) have a 60.5% chance of covering the puck line, while the 6.5-goal over/under has a 51.0% chance of staying under.

 

Latest betting odds

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

  • Puck Line: Kraken +1.5 (-135) / Oilers -1.5 (+125)
  • Moneyline: Kraken +172, Oilers -200
  • Total: Over/Under 6.5 (-110/+105)

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

Model picks and best bet

After matching our predictions against the best available odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

  • Puck line: Kraken +1.5 @ -135 via BetMGM
  • Moneyline: Kraken @ +172 via FanDuel
  • Total: Under 6.5 @ +105 via BetMGM

According to our best NHL bets, the top play to make on this game is Kraken +1.5 at the spread.

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

Kraken vs. Oilers player props

Who will score a goal in Kraken vs. Oilers?

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

Our projections give Draisaitl a 46.7% chance of scoring a goal at Rogers Place, while the star is a 9.8% chance of netting the first goal the game.

Anytime goal scorer predictions

Seattle Kraken

  • Bobby McMann: 30.5% probability
  • Jared McCann: 27.9% probability
  • Jordan Eberle: 25.7% probability
  • Kaapo Kakko: 19.7% probability
  • Matty Beniers: 18.1% probability

Edmonton Oilers

  • Leon Draisaitl: 46.7% probability
  • Connor McDavid: 46.4% probability
  • Evan Bouchard: 29.6% probability
  • Vasily Podkolzin: 25.3% probability
  • Kasperi Kapanen: 21.5% probability

First goal scorer predictions

Seattle Kraken

  • Bobby McMann: 5.4% probability
  • Jordan Eberle: 5.0% probability
  • Jared McCann: 5.0% probability
  • Kaapo Kakko: 3.2% probability
  • Matty Beniers: 3.0% probability

Edmonton Oilers

  • Leon Draisaitl: 9.8% probability
  • Connor McDavid: 9.7% probability
  • Evan Bouchard: 6.0% probability
  • Vasily Podkolzin: 4.3% probability
  • Kasperi Kapanen: 3.4% probability

Game info & puck drop details

Saturday's matchup between the Oilers and Kraken at Rogers Place is scheduled to commence at 7:00 PM ET.

Conclusion

We predict the Oilers, with a 61.8% win probability, will likely beat the Kraken in Saturday's NHL matchup.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary NHL prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.

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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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