Mammoth vs. Oilers prediction: Why Edmonton is favored to win Thursday's NHL matchup [10/15/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 50.8% win probability for the Oilers at Rogers Place.

The Utah Mammoth take on the Edmonton Oilers in NHL action.
Utah Mammoth vs. Edmonton Oilers NHL prediction for Thursday, October 15, 2026.

The Edmonton Oilers and Utah Mammoth will lock horns in the NHL at Rogers Place on Thursday, with puck drop at 9:00 PM ET.

Dimers' advanced NHL model gives the Oilers a slight edge with a 50.8% win probability over the Mammoth.

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

Mammoth vs. Oilers prediction and odds

Using trusted machine learning and data, we have re-simulated the outcome of Thursday's NHL matchup between the Mammoth and the Oilers, forming part of our NHL predictions coverage.

Our independent predictive model currently gives the Oilers a 50.8% chance of defeating the Mammoth. According to our model, the Mammoth (+1.5) have a 69.5% chance of covering the puck line, while the 6.5-goal over/under has a 50.7% 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: Mammoth +1.5 (-233) / Oilers -1.5 (+223)
  • Moneyline: Mammoth +104, Oilers -105
  • 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 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: Mammoth +1.5 @ 70¢ via Novig
  • Moneyline: Mammoth @ 49¢ 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.

Mammoth vs. Oilers player props

Who will score a goal in Mammoth vs. Oilers?

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

Our projections give McDavid a 44.8% chance of scoring a goal at Rogers Place, while the star is a 9.3% chance of netting the first goal the game.

Anytime goal scorer predictions

Utah Mammoth

  • Dylan Guenther: 37.0% probability
  • Nick Schmaltz: 32.9% probability
  • Logan Cooley: 29.2% probability
  • Clayton Keller: 25.1% probability
  • Lawson Crouse: 22.1% probability

Edmonton Oilers

  • Connor McDavid: 44.8% probability
  • Leon Draisaitl: 43.8% probability
  • Vasily Podkolzin: 29.7% probability
  • Evan Bouchard: 27.3% probability
  • Kasperi Kapanen: 20.2% probability

First goal scorer predictions

Utah Mammoth

  • Dylan Guenther: 7.0% probability
  • Nick Schmaltz: 6.2% probability
  • Logan Cooley: 5.4% probability
  • Clayton Keller: 4.7% probability
  • Lawson Crouse: 3.9% probability

Edmonton Oilers

  • Leon Draisaitl: 9.3% probability
  • Connor McDavid: 9.3% probability
  • Evan Bouchard: 5.0% probability
  • Vasily Podkolzin: 5.0% probability
  • Kasperi Kapanen: 3.5% probability

Game info & puck drop details

Thursday's matchup between the Oilers and Mammoth at Rogers Place is scheduled to begin at 9:00 PM ET.

Conclusion

We predict the Oilers, with a 50.8% win probability, will likely beat the Mammoth in Thursday'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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