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Devils vs. Flames prediction: Tight battle projected in updated analysis for Monday's NHL matchup [1/19/2026]

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Written by Jason Bevilacqua

Get New Jersey Devils vs Calgary Flames predictions for NHL Monday.

New Jersey Devils-Calgary Flames Predictions and Game Preview.
New Jersey Devils vs. Calgary Flames NHL prediction for Monday, January 19, 2026.

The Calgary Flames will square off with the New Jersey Devils, in what is expected to be a close NHL game, at Scotiabank Saddledome on Monday, commencing at 9:00 PM ET.

Based on updated simulations, Dimers' advanced NHL model gives an equal chance for both both teams to win the Devils-Flames matchup.

This article offers a closer look at Monday's Devils vs. Flames matchup, including projected goal scorers, best bets and player prop picks.

Devils vs. Flames prediction: Who will win and cover?

Using powerful machine learning and data, we have simulated the result of Monday's NHL game between the Devils and Flames 10,000 times as part of our NHL predictions coverage.

Our independent predictive model currently can't split the two teams, giving both the Devils and Flames a 50% chance of winning the game.

According to our model, the Flames (+1.5) have a 71% chance of covering the puck line, while the over/under total of 5.5 goals has a 52% chance of going over.

 

Devils vs. Flames odds

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

Bet Type Devils Flames
Puck Line -1.5 (+205) +1.5 (-235)
Moneyline -125 +105
Total o5.5 (-125) u5.5 (+106)

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

Devils vs. Flames picks and best bet

After matching our probabilities 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:

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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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