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Flames vs. Sharks prediction: San Jose favored to win Thursday's NHL matchup [2/26/2026]

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Written by Jason Bevilacqua

Get Calgary Flames vs San Jose Sharks predictions for NHL Thursday.

Calgary Flames-San Jose Sharks Predictions and Game Preview.
Calgary Flames vs. San Jose Sharks NHL prediction for Thursday, February 26, 2026.

The San Jose Sharks will square off with the Calgary Flames, in what is expected to be a tight NHL game, at SAP Center at San Jose on Thursday, commencing at 10:00 PM ET.

Based on the latest simulations, Dimers' advanced NHL model gives the Sharks a slight edge with a 52% win probability over the Flames.

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

Flames vs. Sharks prediction: Who will win and cover?

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

Our leading predictive model currently gives the Sharks a 52% chance of beating the Flames.

According to our model, the Flames (+1.5) have a 69% chance of covering the puck line, while the over/under total of 6.5 goals has a 56% chance of staying under.

 

Flames vs. Sharks odds

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

Bet Type Flames Sharks
Puck Line +1.5 (-225) -1.5 (+190)
Moneyline +114 -126
Total o6.5 (+106) u6.5 (-122)

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

Flames vs. Sharks picks and best bet

After matching our predictions 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 Flames +1.5 -225
Moneyline Flames +114
Total Under 6.5 -122

According to our best NHL bets, the top play to make on this game is Under 6.5 total goals.

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

 

Flames vs. Sharks player props

Who will score a goal in Flames vs. Sharks?

According to our model, Macklin Celebrini is most likely to score an anytime goal in Flames vs. Sharks.

Our projections give Celebrini a 39.4% chance of scoring a goal at SAP Center at San Jose, while the star is an 8.2% chance of netting the first goal the game.

Anytime goal scorer predictions

Calgary Flames

Player Anytime Goal Probability
Yegor Sharangovich 28.7%
Nazem Kadri 27.6%
Matthew Coronato 24.3%
Matvei Gridin 22.1%
Connor Zary 20.1%

San Jose Sharks

Player Anytime Goal Probability
Macklin Celebrini 39.4%
Will Smith 33.8%
Tyler Toffoli 31.5%
Kiefer Sherwood 20.9%
William Eklund 20.1%

First goal scorer predictions

Calgary Flames

Player First Goal Probability
Yegor Sharangovich 5.9%
Nazem Kadri 5.3%
Matvei Gridin 4.3%
Matthew Coronato 4.1%
Mikael Backlund 3.8%

San Jose Sharks

Player First Goal Probability
Macklin Celebrini 8.2%
Will Smith 6.6%
Tyler Toffoli 6.3%
Kiefer Sherwood 4.0%
William Eklund 3.4%

Flames vs. Sharks game-day updates and essential details

Thursday's action between the Sharks and Flames at SAP Center at San Jose is scheduled to commence at 10:00 PM ET.

Conclusion

We predict the Sharks, with a 52% win probability, will likely beat the Flames on Thursday.

AI and automation have enhanced this article to quickly deliver accurate Flames vs. Sharks insights, with human oversight ensuring high editorial quality. Our predictions are sourced 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
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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