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Lightning vs. Stars prediction: Tampa Bay favored to win Sunday's NHL matchup [1/18/2026]

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Written by Jason Bevilacqua

Get Tampa Bay Lightning vs Dallas Stars predictions for NHL Sunday.

Tampa Bay Lightning-Dallas Stars Predictions and Game Preview.
Tampa Bay Lightning vs. Dallas Stars NHL prediction for Sunday, January 18, 2026.

NHL action continues on Sunday at 2:00 PM ET as the Tampa Bay Lightning lock horns with the Dallas Stars at American Airlines Center.

Based on the latest simulation results, Dimers' proven NHL model gives the Lightning a slight edge with a 52% win probability over the Stars.

This article offers an expanded analysis of Sunday's Lightning vs. Stars matchup, including projected goal scorers, best bets and player prop picks.

Lightning vs. Stars prediction: Who will win and cover?

Using trusted machine learning and statistical analysis, we have simulated the outcome of Sunday's NHL matchup between the Lightning and Stars 10,000 times as part of our NHL predictions coverage.

Our famous predictive model currently gives the Lightning a 52% chance of beating the Stars.

According to our model, the Stars (+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.

 

Lightning vs. Stars odds

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

Bet Type Lightning Stars
Puck Line -1.5 (+210) +1.5 (-235)
Moneyline -120 +105
Total o6 (-110) u6 (-110)

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

Lightning vs. Stars picks and best bet

After matching our probabilities 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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