Predators vs. Maple Leafs prediction: Why Toronto is favored to win Tuesday's NHL matchup [10/6/2026]

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Written by Nick Slade

Dimers' simulation model projects a 54.9% win probability for the Maple Leafs at Scotiabank Arena.

The Nashville Predators take on the Toronto Maple Leafs in NHL action.
Nashville Predators vs. Toronto Maple Leafs NHL prediction for Tuesday, October 6, 2026.

The Toronto Maple Leafs will face the Nashville Predators, in what is expected to be a tight NHL game, at Scotiabank Arena on Tuesday, commencing at 7:00 PM ET.

Dimers' advanced NHL model gives the Maple Leafs a slight edge with a 54.9% win probability over the Predators.

This article offers a complete Predators vs. Maple Leafs prediction, including projected goal scorers, best bets and player prop picks.

Predators vs. Maple Leafs prediction and odds

Using innovative machine learning and statistical analysis, we have re-simulated the outcome of Tuesday's NHL matchup between the Predators and Maple Leafs, forming part of our NHL predictions coverage.

Our independent predictive model gives the Maple Leafs a 54.9% chance of beating the Predators. According to our model, the Predators (+1.5) have a 66.7% chance of covering the puck line, while the over/under total of 5.5 goals has a 56.4% chance of going over.

 

Latest betting odds

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

  • Puck Line: Predators +1.5 (-189) / Maple Leafs -1.5 (+165)
  • Moneyline: Predators +135, Maple Leafs -150
  • Total: Over/Under 5.5 (-127/+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 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: Predators +1.5 @ -189 via ESPN BET
  • Moneyline: Predators @ +135 via ESPN BET
  • Total: Over 5.5 @ -127 via BetRivers

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

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

Predators vs. Maple Leafs player props

Who will score a goal in Predators vs. Maple Leafs?

According to our model, Auston Matthews is most likely to score an anytime goal in Predators vs. Maple Leafs.

Our projections give Matthews a 38.5% chance of scoring a goal at Scotiabank Arena, while the star is a 7.5% chance of netting the first goal the game.

Anytime goal scorer predictions

Nashville Predators

  • Filip Forsberg: 38.3% probability
  • Steven Stamkos: 37.9% probability
  • Ryan O'Reilly: 25.9% probability
  • Matthew Wood: 23.9% probability
  • Mavrik Bourque: 21.3% probability

Toronto Maple Leafs

  • Auston Matthews: 38.5% probability
  • William Nylander: 35.9% probability
  • Kirill Marchenko: 28.6% probability
  • John Tavares: 28.0% probability
  • Jack Roslovic: 23.9% probability

First goal scorer predictions

Nashville Predators

  • Filip Forsberg: 7.9% probability
  • Steven Stamkos: 7.5% probability
  • Ryan O'Reilly: 4.9% probability
  • Matthew Wood: 4.5% probability
  • Mavrik Bourque: 3.9% probability

Toronto Maple Leafs

  • Auston Matthews: 7.5% probability
  • William Nylander: 7.0% probability
  • John Tavares: 5.0% probability
  • Kirill Marchenko: 4.9% probability
  • Jack Roslovic: 4.7% probability

Game info & puck drop details

Tuesday's game between the Maple Leafs and Predators at Scotiabank Arena is scheduled to start at 7:00 PM ET.

Conclusion

We predict the Maple Leafs, with a 54.9% win probability, will likely beat the Predators 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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