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Kings vs. Golden Knights prediction: Vegas favored to win Thursday's NHL matchup [2/5/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Los Angeles Kings vs Vegas Golden Knights predictions for NHL Thursday.
NHL action continues on Thursday at 10:00 PM ET as the Los Angeles Kings square off with the Vegas Golden Knights at T-Mobile Arena.
Based on the latest simulation results, Dimers' proven NHL model predicts the Golden Knights as the most likely winner of the Kings vs. Golden Knights game.
This article offers further insights into Thursday's matchup, including projected goal scorers, best bets and player prop picks.
Kings vs. Golden Knights prediction: Who will win and cover?
Using innovative machine learning and data analysis, we have simulated the result of Thursday's NHL game between the Kings and Golden Knights 10,000 times as part of our NHL predictions coverage.
Our leading predictive model gives the Golden Knights a 55% chance of beating the Kings.
According to our model, the Kings (+1.5) have a 67% chance of covering the puck line, while the over/under total of 5.5 goals has a 55% chance of going over.
Kings vs. Golden Knights odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Kings | Golden Knights |
|---|---|---|
| Puck Line | +1.5 (-218) | -1.5 (+185) |
| Moneyline | +120 | -140 |
| Total | o5.5 (-125) | u5.5 (+105) |
All odds are correct at the time of publication and are subject to change.
Kings vs. Golden Knights 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:
| Bet Type | Pick | Bet Now |
|---|---|---|
| Puck Line | Kings +1.5 | -218 |
| Moneyline | Kings | +120 |
| Total | Over 5.5 | -125 |
According to our best NHL bets, the top play to make on this game is Over 5.5 total goals.
Kings vs. Golden Knights player props
Who will score a goal in Kings vs. Golden Knights?
According to our model, Pavel Dorofeyev is most likely to score an anytime goal in Kings vs. Golden Knights.
Our projections give Dorofeyev a 35.0% chance of scoring a goal at T-Mobile Arena, while the star is a 7.2% chance of netting the first goal the game.
Anytime goal scorer predictions
Los Angeles Kings
| Player | Anytime Goal Probability |
|---|---|
| Adrian Kempe | 32.8% |
| Kevin Fiala | 28.3% |
| Quinton Byfield | 25.6% |
| Alex Laferriere | 25.5% |
| Andrei Kuzmenko | 20.7% |
Vegas Golden Knights
| Player | Anytime Goal Probability |
|---|---|
| Pavel Dorofeyev | 35.0% |
| Jack Eichel | 33.1% |
| Mark Stone | 30.1% |
| Tomas Hertl | 29.6% |
| Mitch Marner | 24.7% |
First goal scorer predictions
Los Angeles Kings
| Player | First Goal Probability |
|---|---|
| Adrian Kempe | 6.8% |
| Kevin Fiala | 5.8% |
| Alex Laferriere | 5.2% |
| Quinton Byfield | 5.1% |
| Andrei Kuzmenko | 3.9% |
Vegas Golden Knights
| Player | First Goal Probability |
|---|---|
| Pavel Dorofeyev | 7.2% |
| Jack Eichel | 6.5% |
| Tomas Hertl | 5.8% |
| Mark Stone | 5.8% |
| Mitch Marner | 5.3% |
Kings vs. Golden Knights game-day updates and essential details
Thursday's matchup between the Golden Knights and Kings at T-Mobile Arena is scheduled to begin at 10:00 PM ET.
- Who: Los Angeles Kings vs. Vegas Golden Knights
- Date: Thursday, February 5, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: T-Mobile Arena
Conclusion
We predict the Golden Knights, with a 55% win probability, will likely beat the Kings on Thursday.
AI and automation have enhanced this article to quickly deliver accurate Kings vs. Golden Knights 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.
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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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