Maple Leafs vs. Mammoth prediction favors Utah to win Tuesday's NHL matchup [10/13/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 59.0% win probability for the Mammoth at Delta Center.

The Toronto Maple Leafs take on the Utah Mammoth in NHL action.
Toronto Maple Leafs vs. Utah Mammoth NHL prediction for Tuesday, October 13, 2026.

The Utah Mammoth will take on the Toronto Maple Leafs in NHL action at Delta Center on Tuesday, commencing at 9:00 PM ET.

Dimers' advanced NHL model projects the Mammoth as the most likely winner in this Maple Leafs vs. Mammoth prediction.

This article offers a closer look at Tuesday's matchup, including projected goal scorers, best bets and player prop picks.

Maple Leafs vs. Mammoth prediction and odds

Using powerful machine learning and data, we have re-simulated the outcome of Tuesday's NHL matchup between the Maple Leafs and Mammoth, forming part of our NHL predictions coverage.

Our independent predictive model currently gives the Mammoth a 59.0% chance of defeating the Maple Leafs. According to our model, the Maple Leafs (+1.5) have a 62.7% chance of covering the puck line, while the 6.5-goal over/under has a 50.6% 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: Maple Leafs +1.5 (-175) / Mammoth -1.5 (+152)
  • Moneyline: Maple Leafs +138, Mammoth -154
  • Total: Over/Under 6.5 (-117/+100)

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: Maple Leafs +1.5 @ -175 via BetMGM
  • Moneyline: Maple Leafs @ +138 via BetRivers
  • Total: Under 6.5 @ +100 via ESPN BET

According to our best NHL 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.

Maple Leafs vs. Mammoth player props

Who will score a goal in Maple Leafs vs. Mammoth?

According to our model, Dylan Guenther is most likely to score an anytime goal in Maple Leafs vs. Mammoth.

Our projections give Guenther a 40.7% chance of scoring a goal at Delta Center, while the star is a 7.9% chance of netting the first goal the game.

Anytime goal scorer predictions

Toronto Maple Leafs

  • Auston Matthews: 34.7% probability
  • William Nylander: 32.8% probability
  • John Tavares: 25.4% probability
  • Kirill Marchenko: 24.2% probability
  • Jack Roslovic: 21.8% probability

Utah Mammoth

  • Dylan Guenther: 40.7% probability
  • Nick Schmaltz: 35.4% probability
  • Logan Cooley: 32.4% probability
  • Clayton Keller: 27.5% probability
  • Kailer Yamamoto: 24.1% probability

First goal scorer predictions

Toronto Maple Leafs

  • Auston Matthews: 6.2% probability
  • William Nylander: 6.0% probability
  • John Tavares: 5.0% probability
  • Kirill Marchenko: 4.2% probability
  • Jack Roslovic: 3.8% probability

Utah Mammoth

  • Dylan Guenther: 7.9% probability
  • Nick Schmaltz: 6.5% probability
  • Logan Cooley: 6.4% probability
  • Clayton Keller: 4.9% probability
  • Kailer Yamamoto: 4.3% probability

Game info & puck drop details

Tuesday's matchup between the Mammoth and Maple Leafs at Delta Center is scheduled to start at 9:00 PM ET.

Conclusion

We predict Mammoth, with a 59.0% win probability, will likely beat the Maple Leafs in Tuesday'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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