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Maple Leafs vs. Mammoth prediction: Utah favored to win Tuesday's NHL matchup [1/13/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Toronto Maple Leafs vs Utah Mammoth predictions for NHL Tuesday.
The Utah Mammoth will square off with the Toronto Maple Leafs, in what is expected to be a close NHL game, at Delta Center on Tuesday, beginning at 10:00 PM ET.
Based on the latest simulation results, Dimers' proven NHL model gives the Mammoth a slight edge with a 54% win probability over the Maple Leafs.
This article offers a closer look at Tuesday's Maple Leafs vs. Mammoth matchup, including projected goal scorers, best bets and player prop picks.
Maple Leafs vs. Mammoth prediction: Who will win and cover?
Using powerful machine learning and statistical analysis, we have simulated the result of Tuesday's NHL game between the Maple Leafs and Mammoth 10,000 times as part of our NHL predictions coverage.
Our famous predictive model currently gives the Mammoth a 54% chance of defeating the Maple Leafs.
According to our model, the Maple Leafs (+1.5) have a 67% chance of covering the puck line, while the 6-goal over/under has a 52% chance of going over.
Maple Leafs vs. Mammoth odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Maple Leafs | Mammoth |
|---|---|---|
| Puck Line | +1.5 (-190) | -1.5 (+170) |
| Moneyline | +126 | -148 |
| Total | o6 (-118) | u6 (-102) |
All odds are correct at the time of publication and are subject to change.
Maple Leafs 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 | Maple Leafs +1.5 | -190 |
| Moneyline | Maple Leafs | +126 |
| Total | Over 6 | -118 |
According to our NHL best bets, the top play to make on this game is Maple Leafs +1.5 at the spread.
Maple Leafs vs. Mammoth player props
Who will score a goal in Maple Leafs vs. Mammoth?
According to our model, Auston Matthews is most likely to score an anytime goal in Maple Leafs vs. Mammoth.
Our projections give Matthews a 40.9% chance of scoring a goal at Delta Center, while the star is an 8.2% chance of registering the first goal the game.
Anytime goal scorer predictions
Toronto Maple Leafs
| Player | Anytime Goal Probability |
|---|---|
| Auston Matthews | 40.9% |
| William Nylander | 30.4% |
| John Tavares | 27.3% |
| Matthew Knies | 24.9% |
| Bobby McMann | 20.6% |
Utah Mammoth
| Player | Anytime Goal Probability |
|---|---|
| Dylan Guenther | 31.6% |
| Clayton Keller | 30.4% |
| JJ Peterka | 26.0% |
| Lawson Crouse | 23.0% |
| Nick Schmaltz | 22.6% |
First goal scorer predictions
Toronto Maple Leafs
| Player | First Goal Probability |
|---|---|
| Auston Matthews | 8.2% |
| William Nylander | 5.9% |
| John Tavares | 5.6% |
| Matthew Knies | 4.5% |
| Bobby McMann | 3.5% |
Utah Mammoth
| Player | First Goal Probability |
|---|---|
| Dylan Guenther | 6.4% |
| Clayton Keller | 5.7% |
| JJ Peterka | 5.2% |
| Nick Schmaltz | 4.4% |
| Lawson Crouse | 4.3% |
Maple Leafs vs. Mammoth game-day updates and essential details
Tuesday's matchup between the Mammoth and Maple Leafs at Delta Center is scheduled to begin at 10:00 PM ET.
- Who: Toronto Maple Leafs vs. Utah Hockey Club
- Date: Tuesday, January 13, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: Delta Center
Conclusion
We predict Mammoth, with a 54% win probability, will likely beat the Maple Leafs on Tuesday.
AI and automation have enhanced this article to quickly deliver accurate Maple Leafs vs. Mammoth 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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