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Maple Leafs vs. Jets prediction: Why Winnipeg is favored to win Saturday's NHL matchup [1/17/2026]

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Written by Jason Bevilacqua

Get Toronto Maple Leafs vs Winnipeg Jets predictions for NHL Saturday.

Toronto Maple Leafs-Winnipeg Jets Predictions and Game Preview.
Toronto Maple Leafs vs. Winnipeg Jets NHL prediction for Saturday, January 17, 2026.

The Winnipeg Jets will square off with the Toronto Maple Leafs, in what is expected to be a tight NHL game, at Canada Life Centre on Saturday, commencing at 7:00 PM ET.

Based on the latest simulations, Dimers' advanced NHL model gives the Jets a slight edge with a 54% win probability over the Maple Leafs.

This article offers further insights into Saturday's Maple Leafs vs. Jets matchup, including projected goal scorers, best bets and player prop picks.

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

Using powerful machine learning and data, we have simulated the result of Saturday's NHL matchup between the Maple Leafs and Jets 10,000 times as part of our NHL predictions coverage.

Our famous predictive model currently gives the Jets a 54% chance of defeating the Maple Leafs.

According to our model, the Maple Leafs (+1.5) have a 68% chance of covering the puck line, while the 5.5-goal over/under has a 57% chance of going over.

 

Maple Leafs vs. Jets odds

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

Bet Type Maple Leafs Jets
Puck Line +1.5 (-220) -1.5 (+205)
Moneyline +112 -130
Total o5.5 (-125) u5.5 (+112)

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

Maple Leafs vs. Jets 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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