Panthers vs. Sharks prediction favors Florida to win Thursday's NHL matchup [10/1/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 56.1% win probability for the Panthers at SAP Center at San Jose.

The Florida Panthers take on the San Jose Sharks in NHL action.
Florida Panthers vs. San Jose Sharks NHL prediction for Thursday, October 1, 2026.

The San Jose Sharks and Florida Panthers will meet in the NHL at SAP Center at San Jose on Thursday, with puck drop at 10:00 PM ET.

Dimers' advanced NHL model projects the Panthers as the most likely winner in this Panthers vs. Sharks prediction.

This article offers a closer look at Thursday's matchup, including projected goal scorers, best bets and player prop picks.

Panthers vs. Sharks prediction and odds

Using innovative machine learning and data, we have re-simulated the outcome of Thursday's NHL game between the Panthers and Sharks, forming part of our NHL predictions coverage.

Our independent predictive model gives the Panthers a 56.1% chance of beating the Sharks. According to our model, the Sharks (+1.5) have a 65.3% chance of covering the puck line, while the over/under total of 6.5 goals has a 53.4% chance of staying under.

 

Latest betting odds

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

  • Puck Line: Panthers -1.5 (+165) / Sharks +1.5 (-190)
  • Moneyline: Panthers -141, Sharks +130
  • Total: Over/Under 6.5 (+100/-115)

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

Model picks and best bet

After matching our predictions against the best available odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

  • Puck line: Sharks +1.5 @ -190 via bet365
  • Moneyline: Sharks @ +130 via BetRivers
  • Total: Under 6.5 @ -115 via ESPN BET

According to our NHL best bets, the top play to make on this game is Sharks to win.

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

Panthers vs. Sharks player props

Who will score a goal in Panthers vs. Sharks?

According to our model, Sam Reinhart is most likely to score an anytime goal in Panthers vs. Sharks.

Our projections give Reinhart a 40.3% chance of scoring a goal at SAP Center at San Jose, while the star is a 7.3% chance of registering the first goal the game.

Anytime goal scorer predictions

Florida Panthers

  • Sam Reinhart: 40.3% probability
  • Brady Tkachuk: 31.5% probability
  • Matthew Tkachuk: 31.4% probability
  • Sam Bennett: 31.3% probability
  • Carter Verhaeghe: 30.4% probability

San Jose Sharks

  • Macklin Celebrini: 36.6% probability
  • Will Smith: 27.3% probability
  • Igor Chernyshov: 24.8% probability
  • Kiefer Sherwood: 24.2% probability
  • Mason Marchment: 21.6% probability

First goal scorer predictions

Florida Panthers

  • Sam Reinhart: 7.3% probability
  • Matthew Tkachuk: 5.9% probability
  • Carter Verhaeghe: 5.8% probability
  • Sam Bennett: 5.8% probability
  • Brady Tkachuk: 5.6% probability

San Jose Sharks

  • Macklin Celebrini: 7.1% probability
  • Will Smith: 5.7% probability
  • Igor Chernyshov: 4.5% probability
  • Kiefer Sherwood: 4.3% probability
  • Mason Marchment: 3.8% probability

Game info & puck drop details

Thursday's game between the Sharks and Panthers at SAP Center at San Jose is scheduled to start at 10:00 PM ET.

Conclusion

We predict the Panthers, with a 56.1% win probability, will likely beat the Sharks in Thursday's NHL matchup.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary NHL prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.

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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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