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Senators vs. Mammoth prediction: Utah favored to win Wednesday's NHL matchup [1/7/2026]

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Written by Jason Bevilacqua

Get Ottawa Senators vs Utah Mammoth predictions for NHL Wednesday.

Ottawa Senators-Utah Mammoth Predictions and Game Preview.
Ottawa Senators vs. Utah Mammoth NHL prediction for Wednesday, January 7, 2026.

The Utah Mammoth will face the Ottawa Senators, in what is expected to be a close NHL game, at Delta Center on Wednesday, commencing at 9:30 PM ET.

Based on updated simulations, Dimers' advanced NHL model gives the Mammoth a slight edge with a 52% win probability over the Senators.

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

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

Using innovative machine learning and statistical analysis, we have simulated the outcome of Wednesday's NHL game between the Senators and Mammoth 10,000 times as part of our NHL predictions coverage.

Our independent predictive model currently gives the Mammoth a 52% chance of defeating the Senators.

According to our model, the Senators (+1.5) have a 69% chance of covering the puck line, while the 6.5-goal over/under has a 55% chance of staying under.

 

Senators vs. Mammoth odds

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

Bet Type Senators Mammoth
Puck Line +1.5 (-245) -1.5 (+200)
Moneyline -102 -110
Total o6.5 (+105) u6.5 (-125)

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

Senators vs. Mammoth 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:

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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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