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Kraken vs. Predators prediction: Nashville favored to win Thursday's NHL matchup [3/19/2026]

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Written by Jason Bevilacqua

Get Seattle Kraken vs Nashville Predators predictions for NHL Thursday.

Seattle Kraken-Nashville Predators Predictions and Game Preview.
Seattle Kraken vs. Nashville Predators NHL prediction for Thursday, March 19, 2026.

The Nashville Predators will take on the Seattle Kraken, in what is expected to be a tight NHL game, at Bridgestone Arena on Thursday, commencing at 8:00 PM ET.

Based on updated simulations, Dimers' advanced NHL model gives the Predators a slight edge with a 54% win probability over the Kraken.

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

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

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

Our leading predictive model currently gives the Predators a 54% chance of defeating the Kraken.

According to our model, the Kraken (+1.5) have a 68% chance of covering the puck line, while the over/under total of six goals has an equal 50-50 chance of hitting.

 

Kraken vs. Predators odds

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

Bet Type Kraken Predators
Puck Line +1.5 (-230) -1.5 (+198)
Moneyline +115 -126
Total o6 (-110) u6 (-110)

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

Kraken vs. Predators 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:

Bet Type Pick Bet Now
Puck Line Kraken +1.5 -230
Moneyline Kraken +115
Total Under 6 -110

According to our NHL best bets, the top play to make on this game is Kraken to win.

These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.

 

Kraken vs. Predators player props

Who will score a goal in Kraken vs. Predators?

According to our model, Filip Forsberg is most likely to score an anytime goal in Kraken vs. Predators.

Our projections give Forsberg a 39.6% chance of scoring a goal at Bridgestone Arena, while the star is an 8.3% chance of netting the first goal the game.

Anytime goal scorer predictions

Seattle Kraken

Player Anytime Goal Probability
Bobby McMann 32.5%
Jared McCann 26.2%
Matty Beniers 25.2%
Shane Wright 22.5%
Jordan Eberle 20.9%

Nashville Predators

Player Anytime Goal Probability
Filip Forsberg 39.6%
Steven Stamkos 33.1%
Jonathan Marchessault 26.4%
Ryan O'Reilly 25.0%
Roman Josi 19.0%

First goal scorer predictions

Seattle Kraken

Player First Goal Probability
Bobby McMann 5.8%
Matty Beniers 4.9%
Jared McCann 4.8%
Shane Wright 4.1%
Jordan Eberle 4.0%

Nashville Predators

Player First Goal Probability
Filip Forsberg 8.3%
Steven Stamkos 6.3%
Jonathan Marchessault 4.9%
Ryan O'Reilly 4.5%
Roman Josi 3.7%

Kraken vs. Predators game-day updates and essential details

Thursday's matchup between the Predators and Kraken at Bridgestone Arena is scheduled to start at 8:00 PM ET.

Conclusion

We predict the Predators, with a 54% win probability, will likely beat the Kraken on Thursday.

AI and automation have enhanced this article to quickly deliver accurate Kraken vs. Predators insights, with human oversight ensuring high editorial quality. Our predictions are drawn from the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

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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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