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Mammoth vs. Blues prediction: Close contest projected after new data released for Saturday's NHL matchup [11/29/2025]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Utah Mammoth vs St. Louis Blues predictions for NHL Saturday.
The St. Louis Blues will square off with the Utah Mammoth, in what is expected to be a tight NHL game, at Enterprise Center on Saturday, beginning at 8:00PM ET.
Based on updated simulations, Dimers' proven NHL model gives an equal chance for both both teams to win the Mammoth-Blues matchup.
This article offers a closer look at Saturday's Mammoth vs. Blues matchup, including projected goal scorers, best bets and player prop picks.
Mammoth vs. Blues 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 Saturday's clash between the Mammoth and Blues.
Our leading predictive model currently can't split the two teams, giving both the Mammoth and Blues a 50% chance of winning the game.
According to our model, the Blues (+1.5) have a 71% chance of covering the puck line, while the 5.5-goal over/under has a 53% chance of going over.
Mammoth vs. Blues odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Mammoth | Blues |
|---|---|---|
| Puck Line | -1.5 (+215) | +1.5 (-225) |
| Moneyline | -125 | +110 |
| Total | o5.5 (-115) | u5.5 (+100) |
All odds are correct at the time of publication and are subject to change.
Mammoth vs. Blues 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 | Blues +1.5 | -225 |
| Moneyline | Blues | +110 |
| Total | Over 5.5 | -115 |
According to our NHL best bets, the top play to make on this game is Blues to win.
Mammoth vs. Blues player props
Who will score a goal in Mammoth vs. Blues?
According to our model, Jordan Kyrou is most likely to score an anytime goal in Mammoth vs. Blues.
Our projections give Kyrou a 32.2% chance of scoring a goal at Enterprise Center, while the star is a 6.5% chance of netting the first goal the game.
Anytime goal scorer predictions
Utah Mammoth
| Player | Anytime Goal Probability |
|---|---|
| Logan Cooley | 31.6% |
| Dylan Guenther | 29.2% |
| Clayton Keller | 27.3% |
| Kevin Rooney | 23.3% |
| JJ Peterka | 23.1% |
St. Louis Blues
| Player | Anytime Goal Probability |
|---|---|
| Jordan Kyrou | 32.2% |
| Dylan Holloway | 28.2% |
| Jake Neighbours | 27.9% |
| Robert Thomas | 26.2% |
| Pavel Buchnevich | 20.1% |
First goal scorer predictions
Utah Mammoth
| Player | First Goal Probability |
|---|---|
| Logan Cooley | 6.4% |
| Dylan Guenther | 5.6% |
| Clayton Keller | 5.0% |
| Nick Schmaltz | 4.3% |
| Kevin Rooney | 4.2% |
St. Louis Blues
| Player | First Goal Probability |
|---|---|
| Jordan Kyrou | 6.5% |
| Dylan Holloway | 5.7% |
| Robert Thomas | 5.4% |
| Jake Neighbours | 5.2% |
| Dalibor Dvorsky | 3.8% |
Mammoth vs. Blues game-day updates and essential details
Saturday's action between the Blues and Mammoth at Enterprise Center is scheduled to start at 8:00PM ET.
- Who: Utah Mammoth vs. St. Louis Blues
- Date: Saturday, November 29, 2025
- Time: 8:00PM ET/5:00PM PT
- Venue: Enterprise Center
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Conclusion
We predict a close game between the Mammoth and Blues on Saturday, with each team having a 50% chance of winning.
AI and automation have enhanced this article to quickly deliver accurate Mammoth vs. Blues insights, with human oversight ensuring high editorial quality. Our predictions are sourced from the latest 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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