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Maple Leafs vs. Predators prediction: Toronto favored to win Saturday's NHL matchup [12/20/2025]

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Written by Jason Bevilacqua

Get Toronto Maple Leafs vs Nashville Predators predictions for NHL Saturday.

Toronto Maple Leafs-Nashville Predators Predictions and Game Preview.
Toronto Maple Leafs vs. Nashville Predators NHL prediction for Saturday, December 20, 2025.

The Nashville Predators and Toronto mapleleafs will lock horns in the NHL at Bridgestone Arena on Saturday, starting at 7:00 PM ET.

Based on the latest simulations, Dimers' advanced NHL model gives the Maple Leafs a slight edge with a 52% win probability over the Predators.

This article offers an expanded analysis of Saturday's Maple Leafs vs. Predators matchup, including projected goal scorers, best bets and player prop picks.

Maple Leafs vs. Predators prediction: Who will win and cover?

Using innovative machine learning and data, we have simulated the outcome of Saturday's NHL game between the Maple Leafs and Predators 10,000 times as part of our NHL predictions coverage.

Our independent predictive model currently gives the Maple Leafs a 52% chance of beating the Predators.

According to our model, the Predators (+1.5) have a 69% chance of covering the puck line, while the over/under total of six goals has an equal 50-50 chance of hitting.

 

Maple Leafs vs. Predators odds

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

Bet Type Maple Leafs Predators
Puck Line -1.5 (+215) +1.5 (-265)
Moneyline -110 -110
Total o6 (-105) u6 (-115)

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

Maple Leafs vs. Predators picks and best bet

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

Bet Type Pick Bet Now
Puck Line Maple Leafs -1.5 +215
Moneyline Maple Leafs -110
Total Over 6 -105

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

 

Maple Leafs vs. Predators player props

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

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

Our projections give Matthews a 41.2% chance of scoring a goal at Bridgestone Arena, while the star is a 9.1% chance of netting the first goal the game.

Anytime goal scorer predictions

Toronto Maple Leafs

Player Anytime Goal Probability
Auston Matthews 41.2%
William Nylander 35.6%
John Tavares 31.8%
Matthew Knies 27.2%
Bobby McMann 18.3%

Nashville Predators

Player Anytime Goal Probability
Filip Forsberg 34.8%
Steven Stamkos 30.0%
Jonathan Marchessault 24.5%
Ryan O'Reilly 23.4%
Michael Bunting 18.8%

First goal scorer predictions

Toronto Maple Leafs

Player First Goal Probability
Auston Matthews 9.1%
William Nylander 7.0%
John Tavares 5.8%
Matthew Knies 4.7%
Bobby McMann 3.6%

Nashville Predators

Player First Goal Probability
Filip Forsberg 7.0%
Steven Stamkos 5.8%
Jonathan Marchessault 5.1%
Ryan O'Reilly 4.1%
Michael Bunting 3.6%

Maple Leafs vs. Predators game-day updates and essential details

Saturday's matchup between the Predators and Maple Leafs at Bridgestone Arena is scheduled to commence at 7:00 PM ET.

Conclusion

We predict the Maple Leafs, with a 52% win probability, will likely beat the Predators on Saturday.

AI and automation have enhanced this article to quickly deliver accurate Maple Leafs vs. Predators insights, with human oversight ensuring high editorial quality. Our predictions are sourced from the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

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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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