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Penguins vs. Hurricanes prediction: Why Carolina is favored to win Tuesday's NHL matchup [3/10/2026]

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Written by Nick Slade

Get Pittsburgh Penguins vs Carolina Hurricanes predictions for NHL Tuesday.

Pittsburgh Penguins-Carolina Hurricanes Predictions and Game Preview.
Pittsburgh Penguins vs. Carolina Hurricanes NHL prediction for Tuesday, March 10, 2026.

The Carolina Hurricanes will square off with the Pittsburgh Penguins in NHL action at Lenovo Center on Tuesday, starting at 7:00 PM ET.

Based on updated simulation results, Dimers' proven NHL model projects the Hurricanes as the most likely winner of the Penguins vs. Hurricanes game.

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

Penguins vs. Canes prediction: Who will win and cover?

Using trusted machine learning and data analysis, we have simulated the result of Tuesday's NHL game between the Penguins and Hurricanes 10,000 times as part of our NHL predictions coverage.

Our independent predictive model gives the Hurricanes a 61% chance of beating the Penguins.

According to our model, the Penguins (+1.5) have a 60% chance of covering the puck line, while the over/under total of 6.5 goals has a 54% chance of staying under.

 

Penguins vs. Hurricanes odds

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

Bet Type Penguins Hurricanes
Puck Line +1.5 (-140) -1.5 (+120)
Moneyline +170 -205
Total o6.5 (+110) u6.5 (-130)

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

Penguins vs. Hurricanes picks and best bet

After matching our probabilities 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 Penguins +1.5 -140
Moneyline Penguins +170
Total Over 6.5 +110

According to our NHL best bets, the top play to make on this game is Penguins +1.5 at the spread.

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

 

Penguins vs. Hurricanes player props

Who will score a goal in Penguins vs. Hurricanes?

According to our model, Andrei Svechnikov is most likely to score an anytime goal in Penguins vs. Hurricanes.

Our projections give Svechnikov a 32.5% chance of scoring a goal at Lenovo Center, while the star is a 6.1% chance of netting the first goal the game.

Anytime goal scorer predictions

Pittsburgh Penguins

Player Anytime Goal Probability
Bryan Rust 30.2%
Yegor Chinakhov 28.8%
Rickard Rakell 28.5%
Anthony Mantha 25.6%
Thomas Novak 22.8%

Carolina Hurricanes

Player Anytime Goal Probability
Andrei Svechnikov 32.5%
Seth Jarvis 32.1%
Nikolaj Ehlers 31.0%
Sebastian Aho 30.4%
Taylor Hall 25.4%

First goal scorer predictions

Pittsburgh Penguins

Player First Goal Probability
Rickard Rakell 5.4%
Yegor Chinakhov 5.3%
Bryan Rust 5.2%
Anthony Mantha 4.6%
Thomas Novak 3.9%

Carolina Hurricanes

Player First Goal Probability
Seth Jarvis 6.3%
Andrei Svechnikov 6.1%
Nikolaj Ehlers 6.1%
Sebastian Aho 5.6%
Taylor Hall 4.2%

Penguins vs. Canes game-day updates and essential details

Tuesday's game between the Hurricanes and Penguins at Lenovo Center is scheduled to start at 7:00 PM ET.

Conclusion

We predict the Hurricanes, with a 61% win probability, will likely beat the Penguins on Tuesday.

AI and automation have enhanced this article to quickly deliver accurate Penguins 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.

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
Nick Slade
Chief Content Officer

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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