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Predators vs. Kraken prediction: Seattle favored to win Thursday's NHL matchup [1/1/2026]

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Written by Jason Bevilacqua

Get Nashville Predators vs Seattle Kraken predictions for NHL Thursday.

Nashville Predators-Seattle Kraken Predictions and Game Preview.
Nashville Predators vs. Seattle Kraken NHL prediction for Thursday, January 1, 2026.

The Seattle Kraken will take on the Nashville Predators, in what is expected to be a close NHL game, at Climate Pledge Arena on New Year's Day, commencing at 10:00 PM ET.

Based on the latest simulations, Dimers' advanced NHL model gives the Kraken a slight edge with a 51% win probability over the Predators.

This article offers an expanded analysis of Thursday's Predators vs. Kraken matchup, including projected goal scorers, best bets and player prop picks.

Predators vs. Kraken prediction: Who will win and cover?

Using trusted machine learning and data, we have simulated the outcome of Thursday's NHL game between the Predators and Kraken 10,000 times as part of our NHL predictions coverage.

Our leading predictive model gives the Kraken a 51% chance of beating the Predators.

According to our model, the Kraken (+1.5) have a 72% chance of covering the puck line, while the over/under total of 5.5 goals has a 52% chance of going over.

 

Predators vs. Kraken odds

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

Bet Type Predators Kraken
Puck Line -1.5 (+215) +1.5 (-250)
Moneyline -114 -105
Total o5.5 (-115) u5.5 (-102)

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

Predators vs. Kraken 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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