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Golden Knights vs. Kings prediction: Vegas favored to win Wednesday's NHL matchup [1/14/2026]

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Written by Jason Bevilacqua

Get Vegas Golden Knights vs Los Angeles Kings predictions for NHL Wednesday.

Vegas Golden Knights-Los Angeles Kings Predictions and Game Preview.
Vegas Golden Knights vs. Los Angeles Kings NHL prediction for Wednesday, January 14, 2026.

The Los Angeles Kings and Vegas Golden Knights will lock horns in the NHL at Crypto.com Arena on Wednesday, starting at 10:00 PM ET.

Based on the latest simulations, Dimers' advanced NHL model gives the Golden Knights a slight edge with a 51% win probability over the Kings.

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

Golden Knights vs. Kings prediction: Who will win and cover?

Using powerful machine learning and data analysis, we have simulated the result of Wednesday's NHL game between the Golden Knights and Kings 10,000 times as part of our NHL predictions coverage.

Our famous predictive model currently gives the Golden Knights a 51% chance of defeating the Kings.

According to our model, the Kings (+1.5) have a 70% chance of covering the puck line, while the over/under total of 5.5 goals has a 55% chance of going over.

 

Golden Knights vs. Kings odds

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

Bet Type Golden Knights Kings
Puck Line -1.5 (+215) +1.5 (-250)
Moneyline -118 -102
Total o5.5 (-120) u5.5 (+100)

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

Golden Knights 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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