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Oilers vs. Kings prediction: Los Angeles favored to win Thursday's NHL matchup [2/26/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Edmonton Oilers vs Los Angeles Kings predictions for NHL Thursday.
The Los Angeles Kings will face the Edmonton Oilers, in what is expected to be a close NHL game, at Crypto.com Arena on Thursday, commencing at 10:30 PM ET.
Based on updated simulations, Dimers' advanced NHL model gives the Kings a slight edge with a 51% win probability over the Oilers.
This article offers an expanded analysis of Thursday's Oilers vs. Kings matchup, including projected goal scorers, best bets and player prop picks.
Oilers vs. Kings prediction: Who will win and cover?
Using trusted machine learning and data analysis, we have simulated the outcome of Thursday's NHL game between the Oilers and Kings 10,000 times as part of our NHL predictions coverage.
Our independent predictive model currently gives the Kings a 51% chance of beating the Oilers.
According to our model, the Kings (+1.5) have a 71% chance of covering the puck line, while the over/under total of 6.5 goals has a 55% chance of staying under.
Oilers vs. Kings odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Oilers | Kings |
|---|---|---|
| Puck Line | -1.5 (+225) | +1.5 (-278) |
| Moneyline | -110 | -110 |
| Total | o6.5 (-112) | u6.5 (-104) |
All odds are correct at the time of publication and are subject to change.
Oilers vs. Kings picks and best bet
After matching our probabilities 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 | Kings +1.5 | -278 |
| Moneyline | Kings | -110 |
| Total | Under 6.5 | -104 |
According to our best NHL bets, the top play to make on this game is Under 6.5 total goals.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Oilers vs. Kings player props
Who will score a goal in Oilers vs. Kings?
According to our model, Leon Draisaitl is most likely to score an anytime goal in Oilers vs. Kings.
Our projections give Draisaitl a 40.6% chance of scoring a goal at Crypto.com Arena, while the star is an 8.9% chance of netting the first goal the game.
Anytime goal scorer predictions
Edmonton Oilers
| Player | Anytime Goal Probability |
|---|---|
| Leon Draisaitl | 40.6% |
| Zach Hyman | 34.9% |
| Connor McDavid | 34.7% |
| Evan Bouchard | 18.5% |
| Jack Roslovic | 18.2% |
Los Angeles Kings
| Player | Anytime Goal Probability |
|---|---|
| Artemi Panarin | 35.2% |
| Adrian Kempe | 32.8% |
| Quinton Byfield | 28.7% |
| Alex Laferriere | 23.5% |
| Andrei Kuzmenko | 22.4% |
First goal scorer predictions
Edmonton Oilers
| Player | First Goal Probability |
|---|---|
| Leon Draisaitl | 8.9% |
| Zach Hyman | 8.0% |
| Connor McDavid | 6.6% |
| Jack Roslovic | 3.8% |
| Ryan Nugent-Hopkins | 3.4% |
Los Angeles Kings
| Player | First Goal Probability |
|---|---|
| Artemi Panarin | 6.7% |
| Adrian Kempe | 6.6% |
| Quinton Byfield | 6.2% |
| Alex Laferriere | 4.5% |
| Trevor Moore | 4.3% |
Oilers vs. Kings game-day updates and essential details
Thursday's action between the Kings and Oilers at Crypto.com Arena is scheduled to begin at 10:30 PM ET.
- Who: Edmonton Oilers vs. Los Angeles Kings
- Date: Thursday, February 26, 2026
- Time: 10:30 PM ET/7:30PM PT
- Venue: Crypto.com Arena
Conclusion
We predict the Kings, with a 51% win probability, will likely beat the Oilers on Thursday.
AI and automation have enhanced this article to quickly deliver accurate Oilers vs. Kings insights, with human oversight ensuring high editorial quality. Our predictions are sourced from up-to-date 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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