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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 simulation results, Dimers' advanced NHL model gives the Maple Leafs a slight edge with a 52% win probability over the Predators.

This article offers a closer look at 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 famous predictive model gives the Maple Leafs a 52% chance of defeating the Predators.

According to our model, the Predators (+1.5) have a 69% chance of covering the puck line, while the 6-goal over/under has a 51% chance of staying under.

 

Maple Leafs vs. Predators odds

We have researched 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 -105
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 current odds, we can reveal our picks for each of the major markets. Plus, find our best bet for the game below:

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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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