Kings vs. Sharks prediction favors Los Angeles to win Saturday's NHL matchup [10/3/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 50.7% win probability for the Kings at SAP Center at San Jose.

The Los Angeles Kings take on the San Jose Sharks in NHL action.
Los Angeles Kings vs. San Jose Sharks NHL prediction for Saturday, October 3, 2026.

The San Jose Sharks will take on the Los Angeles Kings, in what is expected to be a close NHL game, at SAP Center at San Jose on Saturday, starting at 10:00 PM ET.

Dimers' advanced NHL model gives the Kings a slight edge with a 50.7% win probability over the Sharks.

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

Kings vs. Sharks prediction and odds

Using innovative machine learning and data analysis, we have re-simulated the result of Saturday's NHL game between the Kings and Sharks, forming part of our NHL predictions coverage.

Our famous predictive model gives the Kings a 50.7% chance of beating the Sharks. According to our model, the Kings (+1.5) have a 72.1% chance of covering the puck line, while the over/under total of 6.5 goals has a 56.9% 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: Kings +1.5 (-250) / Sharks -1.5 (+220)
  • Moneyline: Kings -103, Sharks -114
  • Total: Over/Under 6.5 (+105/-122)

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 current 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: Kings +1.5 @ -250 via BetMGM
  • Moneyline: Kings @ -103 via BetRivers
  • Total: Under 6.5 @ -122 via FanDuel

According to our NHL best 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 current available odds.

Kings vs. Sharks player props

Who will score a goal in Kings vs. Sharks?

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

Our projections give Celebrini a 36.5% chance of scoring a goal at SAP Center at San Jose, while the star is an 8.0% chance of netting the first goal the game.

Anytime goal scorer predictions

Los Angeles Kings

  • Adrian Kempe: 36.1% probability
  • Artemi Panarin: 34.9% probability
  • Quinton Byfield: 26.3% probability
  • Corey Perry: 20.9% probability
  • Mats Zuccarello: 20.6% probability

San Jose Sharks

  • Macklin Celebrini: 36.5% probability
  • Will Smith: 27.4% probability
  • Igor Chernyshov: 25.4% probability
  • Mason Marchment: 21.8% probability
  • Kiefer Sherwood: 21.2% probability

First goal scorer predictions

Los Angeles Kings

  • Artemi Panarin: 7.1% probability
  • Adrian Kempe: 7.0% probability
  • Quinton Byfield: 4.6% probability
  • Corey Perry: 4.1% probability
  • Joel Armia: 3.8% probability

San Jose Sharks

  • Macklin Celebrini: 8.0% probability
  • Will Smith: 5.3% probability
  • Igor Chernyshov: 4.9% probability
  • Mason Marchment: 4.0% probability
  • Tyler Toffoli: 3.7% probability

Game info & puck drop details

Saturday's action between the Sharks and Kings at SAP Center at San Jose is scheduled to start at 10:00 PM ET.

Conclusion

We predict the Kings, with a 50.7% win probability, will likely beat the Sharks in Saturday'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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