Ducks vs. Golden Knights prediction favors Vegas to win Friday's NHL matchup [10/2/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 63.3% win probability for the Golden Knights at T-Mobile Arena.

The Anaheim Ducks take on the Vegas Golden Knights in NHL action.
Anaheim Ducks vs. Vegas Golden Knights NHL prediction for Friday, October 2, 2026.

The Vegas Golden Knights will square off with the Anaheim Ducks in NHL action at T-Mobile Arena on Friday, beginning at 10:00 PM ET.

Dimers' proven NHL model projects the Golden Knights as the most likely winner in this Ducks vs. Golden Knights prediction.

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

Ducks vs. Golden Knights prediction and odds

Using powerful machine learning and data analysis, we have re-simulated the result of Friday's NHL matchup between the Ducks and Golden Knights, forming part of our NHL predictions coverage.

Our independent predictive model gives the Golden Knights a 63.3% chance of beating the Ducks. According to our model, the Ducks (+1.5) have a 59.1% chance of covering the puck line, while the 6.5-goal over/under has a 50.9% chance of staying under.

 

Latest betting odds

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

  • Puck Line: Ducks +1.5 (-135) / Golden Knights -1.5 (+130)
  • Moneyline: Ducks +172, Golden Knights -197
  • Total: Over/Under 6.5 (-117/+105)

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: Ducks +1.5 @ -135 via BetMGM
  • Moneyline: Ducks @ +172 via FanDuel
  • Total: Under 6.5 @ +105 via bet365

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.

Ducks vs. Golden Knights player props

Who will score a goal in Ducks vs. Golden Knights?

According to our model, Mark Stone is most likely to score an anytime goal in Ducks vs. Golden Knights.

Our projections give Stone a 36.7% chance of scoring a goal at T-Mobile Arena, while the star is a 7.3% chance of netting the first goal the game.

Anytime goal scorer predictions

Anaheim Ducks

  • Cutter Gauthier: 34.9% probability
  • Tristan Luneau: 30.3% probability
  • Leo Carlsson: 27.0% probability
  • Beckett Sennecke: 21.1% probability
  • A.J. Greer: 20.1% probability

Vegas Golden Knights

  • Mark Stone: 36.7% probability
  • Trevor Connelly: 32.3% probability
  • Jack Eichel: 30.8% probability
  • Tomas Hertl: 28.4% probability
  • Mitch Marner: 27.3% probability

First goal scorer predictions

Anaheim Ducks

  • Cutter Gauthier: 6.7% probability
  • Tristan Luneau: 5.9% probability
  • Leo Carlsson: 5.7% probability
  • Beckett Sennecke: 3.8% probability
  • Mikael Granlund: 3.6% probability

Vegas Golden Knights

  • Mark Stone: 7.3% probability
  • Mitch Marner: 5.6% probability
  • Trevor Connelly: 5.5% probability
  • Jack Eichel: 5.3% probability
  • Tomas Hertl: 5.1% probability

Game info & puck drop details

Friday's game between the Golden Knights and Ducks at T-Mobile Arena is scheduled to commence at 10:00 PM ET.

Conclusion

We predict the Golden Knights, with a 63.3% win probability, will likely beat the Ducks in Friday'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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