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Blues vs. Hurricanes prediction: Why Carolina is favored to win Thursday's NHL matchup [3/12/2026]
Updated: | First published:
Written by Nick Slade, Chief Content Officer
Get St. Louis Blues vs Carolina Hurricanes predictions for NHL Thursday.
The Carolina Hurricanes will face the St. Louis Blues in NHL action at Lenovo Center on Thursday, starting at 7:00 PM ET.
Based on updated simulations, Dimers' advanced NHL model predicts the Hurricanes as the most likely winner of the Blues vs. Hurricanes game.
This article offers further insights into Thursday's matchup, including projected goal scorers, best bets and player prop picks.
Blues vs. Canes prediction: Who will win and cover?
Using innovative machine learning and data, we have simulated the result of Thursday's NHL matchup between the Blues and Hurricanes 10,000 times as part of our NHL predictions coverage.
Our independent predictive model gives the Hurricanes a 67% chance of beating the Blues.
According to our model, the Blues (+1.5) have a 55% chance of covering the puck line, while the over/under total of six goals has a 51% chance of going over.
Blues vs. Hurricanes odds
We have researched the best NHL odds in America for this game, which are listed here:
| Bet Type | Blues | Hurricanes |
|---|---|---|
| Puck Line | +1.5 (-105) | -1.5 (-105) |
| Moneyline | +235 | -285 |
| Total | o6 (-110) | u6 (-110) |
All odds are correct at the time of publication and are subject to change.
Blues vs. Hurricanes 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 | Blues +1.5 | -105 |
| Moneyline | Blues | +235 |
| Total | Over 6 | -110 |
According to our NHL best bets, the top play to make on this game is Blues +1.5 at the spread.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Blues vs. Hurricanes player props
Who will score a goal in Blues vs. Hurricanes?
According to our model, Seth Jarvis is most likely to score an anytime goal in Blues vs. Hurricanes.
Our projections give Jarvis a 34.1% chance of scoring a goal at Lenovo Center, while the star is a 7.2% chance of netting the first goal the game.
Anytime goal scorer predictions
St. Louis Blues
| Player | Anytime Goal Probability |
|---|---|
| Dylan Holloway | 32.2% |
| Jordan Kyrou | 27.9% |
| Robert Thomas | 24.2% |
| Jake Neighbours | 21.4% |
| Pavel Buchnevich | 21.4% |
Carolina Hurricanes
| Player | Anytime Goal Probability |
|---|---|
| Seth Jarvis | 34.1% |
| Andrei Svechnikov | 32.7% |
| Nikolaj Ehlers | 31.4% |
| Sebastian Aho | 30.2% |
| Taylor Hall | 26.2% |
First goal scorer predictions
St. Louis Blues
| Player | First Goal Probability |
|---|---|
| Dylan Holloway | 5.5% |
| Jordan Kyrou | 4.8% |
| Robert Thomas | 4.4% |
| Jake Neighbours | 3.8% |
| Jimmy Snuggerud | 3.7% |
Carolina Hurricanes
| Player | First Goal Probability |
|---|---|
| Seth Jarvis | 7.2% |
| Andrei Svechnikov | 5.9% |
| Sebastian Aho | 5.8% |
| Nikolaj Ehlers | 5.3% |
| Taylor Hall | 5.0% |
Blues vs. Canes game-day updates and essential details
Thursday's matchup between the Hurricanes and Blues at Lenovo Center is scheduled to begin at 7:00 PM ET.
- Who: St. Louis Blues vs. Carolina Hurricanes
- Date: Thursday, March 12, 2026
- Time: 7:00 PM ET/4:00PM PT
- Venue: Lenovo Center
Conclusion
We predict the Hurricanes, with a 67% win probability, will likely beat the Blues on Thursday.
AI and automation have enhanced this article to quickly deliver accurate Blues vs. Hurricanes insights, with human oversight ensuring high editorial quality. Our predictions are drawn from 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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Nick Slade, with nearly two decades of experience, is the Chief Content Officer at Cipher Sports Technology Group, overseeing content for Dimers. He specializes in soccer, NBA, and NHL betting, leveraging predictive analytics and machine learning to provide accurate betting insights.
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