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Golden Knights vs. Mammoth prediction: Vegas favored to win Monday's NHL matchup [11/24/2025]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Vegas Golden Knights vs Utah Mammoth predictions for NHL Monday.
NHL action continues on Monday at 9:00PM ET as the Vegas Golden Knights take on the Utah Mammoth at Delta Center.
Based on the latest simulations, Dimers' proven NHL model gives the Golden Knights a slight edge with a 52% win probability over the Mammoth.
This article offers further insights into Monday's Golden Knights vs. Mammoth matchup, including projected goal scorers, best bets and player prop picks.
Golden Knights vs. Mammoth prediction: Who will win and cover?
As part of Dimers' NHL predictions coverage—and following a review of recent results—our pregame model has generated moneyline, puck line, and over/under probabilities for Monday's clash between the Golden Knights and Mammoth.
Our leading predictive model gives the Golden Knights a 52% chance of beating the Mammoth.
According to our model, the Mammoth (+1.5) have a 70% chance of covering the puck line, while the over/under total of six goals has a 52% chance of staying under.
Golden Knights vs. Mammoth odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Golden Knights | Mammoth |
|---|---|---|
| Puck Line | -1.5 (+220) | +1.5 (-250) |
| Moneyline | -110 | -105 |
| Total | o6 (-105) | u6 (-115) |
All odds are correct at the time of publication and are subject to change.
Golden Knights vs. Mammoth picks and best bet
After matching our predictions against the best available 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 | Golden Knights -1.5 | +220 |
| Moneyline | Golden Knights | -110 |
| Total | Under 6 | -115 |
According to our NHL best bets, the top play to make on this game is Golden Knights to win.
Golden Knights vs. Mammoth player props
Who will score a goal in Golden Knights vs. Mammoth?
According to our model, Logan Cooley is most likely to score an anytime goal in Golden Knights vs. Mammoth.
Our projections give Cooley a 34.0% chance of scoring a goal at Delta Center, while the star is a 6.9% chance of registering the first goal the game.
Anytime goal scorer predictions
Vegas Golden Knights
| Player | Anytime Goal Probability |
|---|---|
| Pavel Dorofeyev | 33.6% |
| Jack Eichel | 33.3% |
| Braeden Bowman | 30.7% |
| Tomas Hertl | 30.0% |
| Ivan Barbashev | 22.4% |
Utah Mammoth
| Player | Anytime Goal Probability |
|---|---|
| Logan Cooley | 34.0% |
| Clayton Keller | 29.6% |
| Dylan Guenther | 27.9% |
| Nick Schmaltz | 24.8% |
| JJ Peterka | 22.3% |
First goal scorer predictions
Vegas Golden Knights
| Player | First Goal Probability |
|---|---|
| Jack Eichel | 6.8% |
| Pavel Dorofeyev | 6.5% |
| Braeden Bowman | 6.2% |
| Tomas Hertl | 5.6% |
| Mitch Marner | 4.1% |
Utah Mammoth
| Player | First Goal Probability |
|---|---|
| Logan Cooley | 6.9% |
| Clayton Keller | 5.8% |
| Dylan Guenther | 5.6% |
| JJ Peterka | 4.6% |
| Nick Schmaltz | 4.3% |
Golden Knights vs. Mammoth game-day updates and essential details
Monday's matchup between the Mammoth and Golden Knights at Delta Center is scheduled to commence at 9:00PM ET.
- Who: Vegas Golden Knights vs. Utah Hockey Club
- Date: Monday, November 24, 2025
- Time: 9:00PM ET/6:00PM PT
- Venue: Delta Center
Conclusion
We predict the Golden Knights, with a 52% win probability, will likely beat the Mammoth on Monday.
AI and automation have enhanced this article to quickly deliver accurate Golden Knights vs. Mammoth insights, with human oversight ensuring high editorial quality. Our predictions are drawn from up-to-date data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.
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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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