Blackhawks vs. Mammoth prediction favors Utah to win Thursday's NHL matchup [10/1/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 64.9% win probability for the Mammoth at Delta Center.

The Chicago Blackhawks take on the Utah Mammoth in NHL action.
Chicago Blackhawks vs. Utah Mammoth NHL prediction for Thursday, October 1, 2026.

The Utah Mammoth will face the Chicago Blackhawks in NHL action at Delta Center on Thursday, commencing at 9:30 PM ET.

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

This article offers further insights into Thursday's matchup, including projected goal scorers, best bets and player prop picks.

Hawks vs. Mammoth prediction and odds

Using innovative machine learning and statistical analysis, we have re-simulated the result of Thursday's NHL matchup between the Blackhawks and Mammoth, forming part of our NHL predictions coverage.

Our leading predictive model currently gives the Mammoth a 64.9% chance of beating the Blackhawks. According to our model, the Blackhawks (+1.5) have a 57.6% chance of covering the puck line, while the 6.5-goal over/under has a 55.3% chance of staying under.

 

Latest betting odds

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

  • Puck Line: Blackhawks +1.5 (-130) / Mammoth -1.5 (+115)
  • Moneyline: Blackhawks +188, Mammoth -213
  • Total: Over/Under 6.5 (+115/-125)

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: Blackhawks +1.5 @ -130 via ESPN BET
  • Moneyline: Blackhawks @ +188 via BetRivers
  • Total: Under 6.5 @ -125 via ESPN BET

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

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

Blackhawks vs. Mammoth player props

Who will score a goal in Blackhawks vs. Mammoth?

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

Our projections give Guenther a 41.8% chance of scoring a goal at Delta Center, while the star is an 8.9% chance of netting the first goal the game.

Anytime goal scorer predictions

Chicago Blackhawks

  • Roman Kantserov: 32.6% probability
  • Tyler Bertuzzi: 29.1% probability
  • Patrick Kane: 27.6% probability
  • Nick Lardis: 17.7% probability
  • Anton Frondell: 17.4% probability

Utah Mammoth

  • Dylan Guenther: 41.8% probability
  • Nick Schmaltz: 33.0% probability
  • Clayton Keller: 32.9% probability
  • Logan Cooley: 32.8% probability
  • Vincent Trocheck: 25.8% probability

First goal scorer predictions

Chicago Blackhawks

  • Roman Kantserov: 6.5% probability
  • Tyler Bertuzzi: 5.4% probability
  • Patrick Kane: 4.9% probability
  • Anton Frondell: 3.0% probability
  • Nick Lardis: 2.9% probability

Utah Mammoth

  • Dylan Guenther: 8.9% probability
  • Nick Schmaltz: 6.2% probability
  • Logan Cooley: 6.0% probability
  • Clayton Keller: 5.9% probability
  • Vincent Trocheck: 4.8% probability

Game info & puck drop details

Thursday's matchup between the Mammoth and Blackhawks at Delta Center is scheduled to begin at 9:30 PM ET.

Conclusion

We predict Mammoth, with a 64.9% win probability, will likely beat the Blackhawks 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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