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Hurricanes vs. Kraken prediction: Carolina favored to win Monday's NHL matchup [3/2/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Carolina Hurricanes vs Seattle Kraken predictions for NHL Monday.
The Seattle Kraken and Carolina Hurricanes will meet in the NHL at Climate Pledge Arena on Monday, with puck drop at 10:00 PM ET.
Based on the latest simulations, Dimers' proven NHL model predicts the Hurricanes as the most likely winner of the Hurricanes vs. Kraken game.
This article offers an expanded analysis of Monday's matchup, including projected goal scorers, best bets and player prop picks.
Canes vs. Kraken prediction: Who will win and cover?
Using innovative machine learning and data, we have simulated the result of Monday's NHL game between the Hurricanes and Kraken 10,000 times as part of our NHL predictions coverage.
Our leading predictive model gives the Hurricanes a 59% chance of beating the Kraken.
According to our model, the Kraken (+1.5) have a 63% chance of covering the puck line, while the over/under total of six goals has a 52% chance of staying under.
Hurricanes vs. Kraken odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Hurricanes | Kraken |
|---|---|---|
| Puck Line | -1.5 (+140) | +1.5 (-155) |
| Moneyline | -184 | +155 |
| Total | o6 (-105) | u6 (-115) |
All odds are correct at the time of publication and are subject to change.
Hurricanes vs. Kraken 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:
| Bet Type | Pick | Bet Now |
|---|---|---|
| Puck Line | Kraken +1.5 | -155 |
| Moneyline | Kraken | +155 |
| Total | Under 6 | -115 |
According to our NHL best bets, the top play to make on this game is Kraken +1.5 at the spread.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Hurricanes vs. Kraken player props
Who will score a goal in Hurricanes vs. Kraken?
According to our model, Andrei Svechnikov is most likely to score an anytime goal in Hurricanes vs. Kraken.
Our projections give Svechnikov a 29.1% chance of scoring a goal at Climate Pledge Arena, while the star is a 5.7% chance of netting the first goal the game.
Anytime goal scorer predictions
Carolina Hurricanes
| Player | Anytime Goal Probability |
|---|---|
| Andrei Svechnikov | 29.1% |
| Sebastian Aho | 28.7% |
| Seth Jarvis | 28.5% |
| Nikolaj Ehlers | 25.8% |
| Taylor Hall | 25.3% |
Seattle Kraken
| Player | Anytime Goal Probability |
|---|---|
| Jared McCann | 25.9% |
| Berkly Catton | 23.8% |
| Shane Wright | 22.8% |
| Matty Beniers | 21.7% |
| Jordan Eberle | 21.1% |
First goal scorer predictions
Carolina Hurricanes
| Player | First Goal Probability |
|---|---|
| Andrei Svechnikov | 5.7% |
| Seth Jarvis | 5.5% |
| Sebastian Aho | 5.2% |
| Taylor Hall | 4.8% |
| Nikolaj Ehlers | 4.8% |
Seattle Kraken
| Player | First Goal Probability |
|---|---|
| Shane Wright | 4.4% |
| Jared McCann | 4.3% |
| Jordan Eberle | 4.0% |
| Matty Beniers | 4.0% |
| Berkly Catton | 3.9% |
Canes vs. Kraken game-day updates and essential details
Monday's matchup between the Kraken and Hurricanes at Climate Pledge Arena is scheduled to start at 10:00 PM ET.
- Who: Carolina Hurricanes vs. Seattle Kraken
- Date: Monday, March 2, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: Climate Pledge Arena
Conclusion
We predict the Hurricanes, with a 59% win probability, will likely beat the Kraken on Monday.
AI and automation have enhanced this article to quickly deliver accurate Hurricanes vs. Kraken insights, with human oversight ensuring high editorial quality. Our predictions are based on up-to-date 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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