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Golden Knights vs. Kings prediction: Los Angeles favored to win Wednesday's NHL matchup [2/25/2026]

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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, February 25, 2026.

The Los Angeles Kings and Vegas Golden Knights will meet in the NHL at Crypto.com Arena on Wednesday, with puck drop at 10:00 PM ET.

Based on updated simulation results, Dimers' proven NHL model projects the Kings as the most likely winner of the Golden Knights vs. Kings game.

This article offers a closer look at Wednesday's 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, we have simulated the outcome of Wednesday's NHL game between the Golden Knights and Kings 10,000 times as part of our NHL predictions coverage.

Our leading predictive model currently gives the Kings a 57% chance of defeating the Golden Knights.

According to our model, the Golden Knights (+1.5) have a 67% chance of covering the puck line, while the 5.5-goal over/under has a 51% chance of staying under.

 

Golden Knights vs. Kings odds

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

Bet Type Golden Knights Kings
Puck Line +1.5 (-168) -1.5 (+155)
Moneyline +160 -180
Total o5.5 (+100) u5.5 (-115)

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:

Bet Type Pick Bet Now
Puck Line Golden Knights +1.5 -168
Moneyline Golden Knights +160
Total Over 5.5 +100

According to our NHL best bets, the top play to make on this game is Golden Knights to win.

These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.

 

Golden Knights vs. Kings player props

Who will score a goal in Golden Knights vs. Kings?

According to our model, Tomas Hertl is most likely to score an anytime goal in Golden Knights vs. Kings.

Our projections give Hertl a 40.7% chance of scoring a goal at Crypto.com Arena, while the star is an 8.8% chance of netting the first goal the game.

Anytime goal scorer predictions

Vegas Golden Knights

Player Anytime Goal Probability
Tomas Hertl 40.7%
Pavel Dorofeyev 40.5%
Ivan Barbashev 25.5%
Reilly Smith 21.9%
Keegan Kolesar 20.6%

Los Angeles Kings

Player Anytime Goal Probability
Artemi Panarin 33.8%
Adrian Kempe 31.3%
Quinton Byfield 25.8%
Alex Laferriere 23.1%
Andrei Kuzmenko 22.6%

First goal scorer predictions

Vegas Golden Knights

Player First Goal Probability
Pavel Dorofeyev 9.1%
Tomas Hertl 8.8%
Ivan Barbashev 5.2%
Reilly Smith 4.1%
Keegan Kolesar 3.9%

Los Angeles Kings

Player First Goal Probability
Artemi Panarin 7.0%
Adrian Kempe 6.9%
Alex Laferriere 4.7%
Quinton Byfield 4.5%
Andrei Kuzmenko 4.3%

Golden Knights vs. Kings game-day updates and essential details

Wednesday's action between the Kings and Golden Knights at Crypto.com Arena is scheduled to commence at 10:00 PM ET.

Conclusion

We predict the Kings, with a 57% win probability, will likely beat the Golden Knights on Wednesday.

AI and automation have enhanced this article to quickly deliver accurate Golden Knights vs. Kings insights, with human oversight ensuring high editorial quality. Our predictions are based on the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

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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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