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Mammoth vs. Stars prediction: Dallas favored to win Monday's NHL matchup [3/16/2026]

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Written by Jason Bevilacqua

Get Utah Mammoth vs Dallas Stars predictions for NHL Monday.

Utah Mammoth-Dallas Stars Predictions and Game Preview.
Utah Mammoth vs. Dallas Stars NHL prediction for Monday, March 16, 2026.

The Dallas Stars will square off with the Utah Mammoth in NHL action at American Airlines Center on Monday, starting at 8:00 PM ET.

Based on updated simulation results, Dimers' proven NHL model projects the Stars as the most likely winner of the Mammoth vs. Stars game.

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

Mammoth vs. Stars prediction: Who will win and cover?

Using trusted machine learning and statistical analysis, we have simulated the result of Monday's NHL game between the Mammoth and the Stars 10,000 times as part of our NHL predictions coverage.

Our independent predictive model currently gives the Stars a 59% chance of beating the Mammoth.

According to our model, the Mammoth (+1.5) have a 62% chance of covering the puck line, while the 5.5-goal over/under has a 54% chance of going over.

 

Mammoth vs. Stars odds

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

Bet Type Mammoth Stars
Puck Line +1.5 (-185) -1.5 (+160)
Moneyline +136 -160
Total o5.5 (-130) u5.5 (+110)

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

Mammoth vs. Stars picks and best bet

After matching our predictions against the best current odds, we can reveal our picks for each of the major markets. Plus, find our best bet for the game below:

Bet Type Pick Bet Now
Puck Line Stars -1.5 +160
Moneyline Mammoth +136
Total Under 5.5 +110

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

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

 

Mammoth vs. Stars player props

Who will score a goal in Mammoth vs. Stars?

According to our model, Wyatt Johnston is most likely to score an anytime goal in Mammoth vs. Stars.

Our projections give Johnston a 40.3% chance of scoring a goal at American Airlines Center, while the star is an 8.5% chance of registering the first goal the game.

Anytime goal scorer predictions

Utah Mammoth

Player Anytime Goal Probability
Dylan Guenther 30.9%
Clayton Keller 26.6%
Logan Cooley 24.4%
JJ Peterka 21.2%
Nick Schmaltz 21.1%

Dallas Stars

Player Anytime Goal Probability
Wyatt Johnston 40.3%
Jason Robertson 39.1%
Matt Duchene 29.1%
Mavrik Bourque 28.2%
Jamie Benn 23.8%

First goal scorer predictions

Utah Mammoth

Player First Goal Probability
Dylan Guenther 5.9%
Clayton Keller 4.7%
Logan Cooley 4.3%
JJ Peterka 3.8%
Lawson Crouse 3.6%

Dallas Stars

Player First Goal Probability
Wyatt Johnston 8.5%
Jason Robertson 8.1%
Mavrik Bourque 5.3%
Matt Duchene 5.1%
Jamie Benn 4.2%

Mammoth vs. Stars game-day updates and essential details

Monday's game between the Stars and Mammoth at American Airlines Center is scheduled to begin at 8:00 PM ET.

  • Who: Utah Mammoth vs. Dallas Stars
  • Date: Monday, March 16, 2026
  • Time: 8:00 PM ET/5:00PM PT
  • Venue: American Airlines Center

Conclusion

We predict the Stars, with a 59% win probability, will likely beat the Mammoth on Monday.

AI and automation have enhanced this article to quickly deliver accurate Mammoth vs. Stars insights, with human oversight ensuring high editorial quality. Our predictions are drawn from the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

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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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