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Sharks vs. Flames prediction: Why Calgary is favored to win Thursday's NHL matchup [11/13/2025]

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Written by Jason Bevilacqua

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

San Jose Sharks-Calgary Flames Predictions and Game Preview.
San Jose Sharks vs. Calgary Flames NHL prediction for Thursday, November 13, 2025.

The Calgary Flames will face the San Jose Sharks in NHL action at Scotiabank Saddledome on Thursday, beginning at 9:00PM ET.

Based on the latest simulation results, Dimers' advanced NHL model projects the Flames as the most likely winner of the Sharks vs. Flames game.

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

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

As part of Dimers' NHL predictions coverage—and following a review of recent results—our pregame model has generated moneyline, puck line, and over/under probabilities for Thursday's clash between the Sharks and Flames.

According to our model, the Sharks (+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.

 

Sharks vs. Flames odds

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

Bet Type Sharks Flames
Puck Line +1.5 (-176) -1.5 (+154)
Moneyline +140 -160
Total o6 (-110) u6 (-110)

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

Sharks vs. Flames 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 Sharks +1.5 -176
Moneyline Sharks +140
Total Under 6 -110

According to our NHL best bets, the top play to make on this game is Under 6 total goals.

 

Sharks vs. Flames player props

Who will score a goal in Sharks vs. Flames?

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

Our projections give Kadri a 35.6% chance of scoring a goal at Scotiabank Saddledome, while the star is a 7.4% chance of netting the first goal the game.

Anytime goal scorer predictions

San Jose Sharks

Player Anytime Goal Probability
Macklin Celebrini 33.5%
Tyler Toffoli 28.8%
Will Smith 28.2%
William Eklund 24.4%
Jeff Skinner 18.2%

Calgary Flames

Player Anytime Goal Probability
Nazem Kadri 35.6%
Matthew Coronato 30.7%
Jonathan Huberdeau 30.6%
Blake Coleman 26.3%
Morgan Frost 23.6%

First goal scorer predictions

San Jose Sharks

Player First Goal Probability
Macklin Celebrini 6.2%
Tyler Toffoli 5.6%
Will Smith 5.4%
William Eklund 4.3%
Philipp Kurashev 3.2%

Calgary Flames

Player First Goal Probability
Nazem Kadri 7.4%
Matthew Coronato 6.1%
Blake Coleman 6.0%
Jonathan Huberdeau 5.6%
Samuel Honzek 4.9%

Sharks vs. Flames game-day updates and essential details

Thursday's matchup between the Flames and Sharks at Scotiabank Saddledome is scheduled to start at 9:00PM ET.

Sports betting deal available for Thursday

To make the most of Thursday's mammoth day of sports, headlined by the Jets-Giants TNF clash, check out details on the latest Bet365 bonus code "DIMERS" that secures $200 in bonus bets from a $5 bet — win or lose. Don't miss out!

Conclusion

We predict the Flames, with a 60% win probability, will likely beat the Sharks on Thursday.

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