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Predators vs. Kings prediction: Los Angeles favored to win Thursday's NHL matchup [4/2/2026]

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Written by Jason Bevilacqua

Get Nashville Predators vs Los Angeles Kings predictions for NHL Thursday.

Nashville Predators-Los Angeles Kings Predictions and Game Preview.
Nashville Predators vs. Los Angeles Kings NHL prediction for Thursday, April 2, 2026.

The Los Angeles Kings and Nashville Predators are scheduled to meet in the NHL at Crypto.com Arena on Thursday, starting at 10:30 PM ET.

Based on updated simulation results, Dimers' advanced NHL model gives the Kings a slight edge with a 54% win probability over the Predators.

This article offers a closer look at Thursday's Predators vs. Kings matchup, including projected goal scorers, best bets and player prop picks.

Predators vs. Kings prediction: Who will win and cover?

Using innovative machine learning and statistical analysis, we have simulated the outcome of Thursday's NHL game between the Predators and Kings, forming part of our NHL predictions coverage.

Our independent predictive model gives the Kings a 54% chance of defeating the Predators.

According to our model, the Predators (+1.5) have a 68% chance of covering the puck line, while the 5.5-goal over/under has a 52% chance of going over.

 

Predators vs. Kings odds

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

Bet Type Predators Kings
Puck Line +1.5 (-230) -1.5 (+205)
Moneyline +105 -125
Total o5.5 (-114) u5.5 (-105)

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

Predators vs. Kings 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:

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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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