Kraken vs. Flyers prediction: Why Philadelphia is favored to win Tuesday's NHL matchup [10/13/2026]

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Written by Nick Slade

Dimers' simulation model projects a 50.8% win probability for the Flyers at Xfinity Mobile Arena.

The Seattle Kraken take on the Philadelphia Flyers in NHL action.
Seattle Kraken vs. Philadelphia Flyers NHL prediction for Tuesday, October 13, 2026.

NHL action continues on Tuesday at 7:00 PM ET as the Seattle Kraken square off with the Philadelphia Flyers at Xfinity Mobile Arena.

Dimers' advanced NHL model gives the Flyers a slight edge with a 50.8% win probability over the Kraken.

This article offers a complete Kraken vs. Flyers prediction, including projected goal scorers, best bets and player prop picks.

Kraken vs. Flyers prediction and odds

Using powerful machine learning and data, we have re-simulated the result of Tuesday's NHL matchup between the Kraken and Flyers, forming part of our NHL predictions coverage.

Our famous predictive model gives the Flyers a 50.8% chance of beating the Kraken. According to our model, the Kraken (+1.5) have a 70.3% chance of covering the puck line, while the 5.5-goal over/under has a 51.7% chance of going over.

 

Latest betting odds

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

  • Puck Line: Kraken +1.5 (-250) / Flyers -1.5 (+225)
  • Moneyline: Kraken -104, Flyers -110
  • Total: Over/Under 5.5 (-125/+110)

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

Model picks and best bet

After matching our probabilities 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: Flyers -1.5 @ +225 via BetRivers
  • Moneyline: Flyers @ -110 via ESPN BET
  • Total: Under 5.5 @ +110 via FanDuel

According to our NHL best bets, the top play to make on this game is Under 5.5 total goals.

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

Kraken vs. Flyers player props

Who will score a goal in Kraken vs. Flyers?

According to our model, Tyson Foerster is most likely to score an anytime goal in Kraken vs. Flyers.

Our projections give Foerster a 32.3% chance of scoring a goal at Xfinity Mobile Arena, while the star is a 6.6% chance of netting the first goal the game.

Anytime goal scorer predictions

Seattle Kraken

  • Bobby McMann: 30.4% probability
  • Jared McCann: 25.1% probability
  • Jordan Eberle: 24.5% probability
  • Matty Beniers: 17.9% probability
  • Mackie Samoskevich: 16.6% probability

Philadelphia Flyers

  • Tyson Foerster: 32.3% probability
  • Owen Tippett: 27.0% probability
  • Porter Martone: 26.1% probability
  • Trevor Zegras: 24.9% probability
  • Matvei Michkov: 22.4% probability

First goal scorer predictions

Seattle Kraken

  • Bobby McMann: 6.2% probability
  • Jordan Eberle: 4.8% probability
  • Jared McCann: 4.7% probability
  • Chandler Stephenson: 3.2% probability
  • Matty Beniers: 3.1% probability

Philadelphia Flyers

  • Tyson Foerster: 6.6% probability
  • Porter Martone: 5.4% probability
  • Owen Tippett: 5.4% probability
  • Trevor Zegras: 5.0% probability
  • Matvei Michkov: 4.0% probability

Game info & puck drop details

Tuesday's matchup between the Flyers and Kraken at Xfinity Mobile Arena is scheduled to begin at 7:00 PM ET.

Conclusion

We predict the Flyers, with a 50.8% win probability, will likely beat the Kraken in Tuesday'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
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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