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Islanders vs. Kings prediction: Los Angeles favored to win Thursday's NHL matchup [3/5/2026]

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Written by Jason Bevilacqua

Get NY Islanders vs Los Angeles Kings predictions for NHL Thursday.

NY Islanders-Los Angeles Kings Predictions and Game Preview.
NY Islanders vs. Los Angeles Kings NHL prediction for Thursday, March 5, 2026.

The Los Angeles Kings will take on the NY Islanders, in what is expected to be a close NHL game, at Crypto.com Arena on Thursday, starting at 9:30 PM ET.

Based on the latest simulations, Dimers' proven NHL model gives the Kings a slight edge with a 53% win probability over the Islanders.

This article offers further insights into Thursday's Islanders vs. Kings matchup, including projected goal scorers, best bets and player prop picks.

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

Using powerful machine learning and statistical analysis, we have simulated the result of Thursday's NHL matchup between the Islanders and Kings 10,000 times as part of our NHL predictions coverage.

Our independent predictive model currently gives the Kings a 53% chance of defeating the Islanders.

According to our model, the Islanders (+1.5) have a 69% chance of covering the puck line, while the 5.5-goal over/under has an equal 50-50 chance of hitting.

 

Islanders vs. Kings odds

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

Bet Type Islanders Kings
Puck Line +1.5 (-250) -1.5 (+205)
Moneyline +100 -115
Total o5.5 (-110) u5.5 (-106)

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

Islanders vs. Kings 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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