Oilers vs. Mammoth prediction favors Utah to win Saturday's NHL matchup [10/17/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 54.9% win probability for the Mammoth at Delta Center.

The Edmonton Oilers take on the Utah Mammoth in NHL action.
Edmonton Oilers vs. Utah Mammoth NHL prediction for Saturday, October 17, 2026.

The Utah Mammoth will face the Edmonton Oilers, in what is expected to be a tight NHL game, at Delta Center on Saturday, commencing at 10:00 PM ET.

Dimers' advanced NHL model gives the Mammoth a slight edge with a 54.9% win probability over the Oilers.

This article offers a complete Oilers vs. Mammoth prediction, including projected goal scorers, best bets and player prop picks.

Oilers vs. Mammoth prediction and odds

Using trusted machine learning and statistical analysis, we have re-simulated the outcome of Saturday's NHL game between the Oilers and Mammoth, forming part of our NHL predictions coverage.

Our leading predictive model currently gives the Mammoth a 54.9% chance of defeating the Oilers. According to our model, the Oilers (+1.5) have a 66.0% chance of covering the puck line, while the 6.5-goal over/under has a 50.1% chance of going over.

 

Latest betting odds

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

  • Puck Line: Oilers +1.5 (-194) / Mammoth -1.5 (+186)
  • Moneyline: Oilers +130, Mammoth -133
  • Total: Over/Under 6.5 (-113/+108)

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

Model picks and best bet

After matching our probabilities 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: Oilers +1.5 @ 66¢ via Novig
  • Moneyline: Oilers @ 44¢ via Novig
  • Total: Under 6.5 @ 48¢ via Novig

According to our NHL best bets, the top play to make on this game is Under 6.5 total goals.

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

Oilers vs. Mammoth player props

Who will score a goal in Oilers vs. Mammoth?

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

Our projections give Draisaitl a 40.7% chance of scoring a goal at Delta Center, while the star is a 7.5% chance of netting the first goal the game.

Anytime goal scorer predictions

Edmonton Oilers

  • Leon Draisaitl: 40.7% probability
  • Connor McDavid: 37.6% probability
  • Zach Hyman: 32.4% probability
  • Vasily Podkolzin: 27.3% probability
  • Evan Bouchard: 23.7% probability

Utah Mammoth

  • Dylan Guenther: 38.8% probability
  • Logan Cooley: 32.7% probability
  • Nick Schmaltz: 32.2% probability
  • Clayton Keller: 29.0% probability
  • Kailer Yamamoto: 24.1% probability

First goal scorer predictions

Edmonton Oilers

  • Leon Draisaitl: 7.5% probability
  • Connor McDavid: 7.2% probability
  • Zach Hyman: 5.7% probability
  • Vasily Podkolzin: 4.8% probability
  • Evan Bouchard: 3.8% probability

Utah Mammoth

  • Dylan Guenther: 8.1% probability
  • Nick Schmaltz: 6.0% probability
  • Logan Cooley: 5.9% probability
  • Clayton Keller: 4.7% probability
  • Kailer Yamamoto: 4.1% probability

Game info & puck drop details

Saturday's action between the Mammoth and Oilers at Delta Center is scheduled to begin at 10:00 PM ET.

Conclusion

We predict Mammoth, with a 54.9% win probability, will likely beat the Oilers 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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