Penguins vs. Mammoth prediction favors Utah to win Monday's NHL matchup [10/19/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 59.8% win probability for the Mammoth at Delta Center.

The Pittsburgh Penguins take on the Utah Mammoth in NHL action.
Pittsburgh Penguins vs. Utah Mammoth NHL prediction for Monday, October 19, 2026.

NHL action continues on Monday at 9:00 PM ET as the Pittsburgh Penguins take on the Utah Mammoth at Delta Center.

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

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

Penguins vs. Mammoth prediction and odds

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

Our famous predictive model gives the Mammoth a 59.8% chance of beating the Penguins. According to our model, the Penguins (+1.5) have a 62.0% chance of covering the puck line, while the over/under total of 6.5 goals has a 51.2% 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: Penguins +1.5 (-147) / Mammoth -1.5 (+141)
  • Moneyline: Penguins +170, Mammoth -174
  • Total: Over/Under 6.5 (-130/+127)

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: Penguins +1.5 @ 60¢ via Novig
  • Moneyline: Penguins @ 37¢ via Novig
  • Total: Under 6.5 @ 44¢ 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.

Penguins vs. Mammoth player props

Who will score a goal in Penguins vs. Mammoth?

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

Our projections give Guenther a 38.7% chance of scoring a goal at Delta Center, while the star is a 7.7% chance of netting the first goal the game.

Anytime goal scorer predictions

Pittsburgh Penguins

  • Sidney Crosby: 31.9% probability
  • Bryan Rust: 30.6% probability
  • Rickard Rakell: 27.2% probability
  • Evgeni Malkin: 25.4% probability
  • Egor Chinakhov: 22.0% probability

Utah Mammoth

  • Dylan Guenther: 38.7% probability
  • Logan Cooley: 33.2% probability
  • Nick Schmaltz: 33.2% probability
  • Clayton Keller: 28.6% probability
  • Kailer Yamamoto: 25.7% probability

First goal scorer predictions

Pittsburgh Penguins

  • Bryan Rust: 5.9% probability
  • Sidney Crosby: 5.4% probability
  • Rickard Rakell: 5.1% probability
  • Evgeni Malkin: 4.6% probability
  • Egor Chinakhov: 3.7% probability

Utah Mammoth

  • Dylan Guenther: 7.7% probability
  • Logan Cooley: 6.5% probability
  • Nick Schmaltz: 6.3% probability
  • Clayton Keller: 5.2% probability
  • Kailer Yamamoto: 4.8% probability

Game info & puck drop details

Monday's action between the Mammoth and Penguins at Delta Center is scheduled to begin at 9:00 PM ET.

Conclusion

We predict Mammoth, with a 59.8% win probability, will likely beat the Penguins in Monday'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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