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Avalanche vs. Mammoth prediction: Colorado favored to win Wednesday's NHL matchup [2/25/2026]

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Written by Jason Bevilacqua

Get Colorado Avalanche vs Utah Mammoth predictions for NHL Wednesday.

Colorado Avalanche-Utah Mammoth Predictions and Game Preview.
Colorado Avalanche vs. Utah Mammoth NHL prediction for Wednesday, February 25, 2026.

The Utah Mammoth will take on the Colorado Avalanche, in what is expected to be a close NHL game, at Delta Center on Wednesday, starting at 9:00 PM ET.

Based on updated simulation results, Dimers' advanced NHL model gives the Avalanche a slight edge with a 54% win probability over the Mammoth.

This article offers an expanded analysis of Wednesday's Avalanche vs. Mammoth matchup, including projected goal scorers, best bets and player prop picks.

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

Using trusted machine learning and data analysis, we have simulated the outcome of Wednesday's NHL matchup between the Avalanche and Mammoth 10,000 times as part of our NHL predictions coverage.

Our famous predictive model gives the Avalanche a 54% chance of defeating the Mammoth.

According to our model, the Mammoth (+1.5) have a 66% chance of covering the puck line, while the over/under total of 5.5 goals has a 55% chance of going over.

 

Avalanche vs. Mammoth odds

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

Bet Type Avalanche Mammoth
Puck Line -1.5 (+220) +1.5 (-235)
Moneyline -113 +100
Total o5.5 (-120) u5.5 (+105)

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

Avalanche vs. Mammoth picks and best bet

After matching our probabilities 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 Avalanche -1.5 +220
Moneyline Avalanche -113
Total Over 5.5 -120

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

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

 

Avalanche vs. Mammoth player props

Who will score a goal in Avalanche vs. Mammoth?

According to our model, Brock Nelson is most likely to score an anytime goal in Avalanche vs. Mammoth.

Our projections give Nelson a 36.4% chance of scoring a goal at Delta Center, while the star is a 7.5% chance of registering the first goal the game.

Anytime goal scorer predictions

Colorado Avalanche

Player Anytime Goal Probability
Brock Nelson 36.4%
Martin Necas 29.8%
Artturi Lehkonen 28.1%
Gabriel Landeskog 27.8%
Valeri Nichushkin 27.8%

Utah Mammoth

Player Anytime Goal Probability
Logan Cooley 28.4%
Dylan Guenther 28.3%
Clayton Keller 25.9%
Nick Schmaltz 25.3%
JJ Peterka 22.8%

First goal scorer predictions

Colorado Avalanche

Player First Goal Probability
Brock Nelson 7.5%
Artturi Lehkonen 5.9%
Gabriel Landeskog 5.6%
Valeri Nichushkin 5.4%
Martin Necas 5.1%

Utah Mammoth

Player First Goal Probability
Dylan Guenther 5.5%
Logan Cooley 5.3%
Clayton Keller 4.5%
JJ Peterka 4.2%
Nick Schmaltz 4.1%

Avs vs. Mammoth game-day updates and essential details

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

Conclusion

We predict the Avalanche, with a 54% win probability, will likely beat the Mammoth on Wednesday.

AI and automation have enhanced this article to quickly deliver accurate Avalanche vs. Mammoth insights, with human oversight ensuring high editorial quality. Our predictions are based on up-to-date 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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