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Flyers vs. Kings prediction: Los Angeles favored to win Thursday's NHL matchup [3/19/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Philadelphia Flyers vs Los Angeles Kings predictions for NHL Thursday.
The Los Angeles Kings will square off with the Philadelphia Flyers in NHL action at Crypto.com Arena on Thursday, starting at 10:30 PM ET.
Based on updated simulation results, Dimers' advanced NHL model predicts the Kings as the most likely winner of the Flyers vs. Kings game.
This article offers further insights into Thursday's matchup, including projected goal scorers, best bets and player prop picks.
Flyers vs. Kings prediction: Who will win and cover?
Using powerful machine learning and data, we have simulated the outcome of Thursday's NHL matchup between the Flyers and Kings 10,000 times as part of our NHL predictions coverage.
Our leading predictive model gives the Kings a 59% chance of beating the Flyers.
According to our model, the Flyers (+1.5) have a 64% chance of covering the puck line, while the over/under total of six goals has a 52% chance of staying under.
Flyers vs. Kings odds
We have researched the best NHL odds in America for this game, which are listed here:
| Bet Type | Flyers | Kings |
|---|---|---|
| Puck Line | +1.5 (-172) | -1.5 (+154) |
| Moneyline | +150 | -175 |
| Total | o6 (-105) | u6 (-115) |
All odds are correct at the time of publication and are subject to change.
Flyers vs. Kings picks and best bet
After matching our probabilities 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 | Flyers +1.5 | -172 |
| Moneyline | Flyers | +150 |
| Total | Under 6 | -115 |
According to our NHL best bets, the top play to make on this game is Flyers to win.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Flyers vs. Kings player props
Who will score a goal in Flyers vs. Kings?
According to our model, Adrian Kempe is most likely to score an anytime goal in Flyers vs. Kings.
Our projections give Kempe a 38.9% 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
Philadelphia Flyers
| Player | Anytime Goal Probability |
|---|---|
| Travis Konecny | 33.8% |
| Owen Tippett | 28.0% |
| Matvei Michkov | 25.4% |
| Trevor Zegras | 20.1% |
| Alex Bump | 17.8% |
Los Angeles Kings
| Player | Anytime Goal Probability |
|---|---|
| Adrian Kempe | 38.9% |
| Artemi Panarin | 38.0% |
| Alex Laferriere | 31.1% |
| Quinton Byfield | 29.4% |
| Trevor Moore | 25.7% |
First goal scorer predictions
Philadelphia Flyers
| Player | First Goal Probability |
|---|---|
| Travis Konecny | 6.9% |
| Owen Tippett | 5.5% |
| Matvei Michkov | 4.7% |
| Trevor Zegras | 3.6% |
| Jamie Drysdale | 3.1% |
Los Angeles Kings
| Player | First Goal Probability |
|---|---|
| Adrian Kempe | 8.8% |
| Artemi Panarin | 7.7% |
| Alex Laferriere | 6.2% |
| Quinton Byfield | 5.8% |
| Trevor Moore | 5.1% |
Flyers vs. Kings game-day updates and essential details
Thursday's matchup between the Kings and Flyers at Crypto.com Arena is scheduled to begin at 10:30 PM ET.
- Who: Philadelphia Flyers vs. Los Angeles Kings
- Date: Thursday, March 19, 2026
- Time: 10:30 PM ET/7:30PM PT
- Venue: Crypto.com Arena
Conclusion
We predict the Kings, with a 59% win probability, will likely beat the Flyers on Thursday.
AI and automation have enhanced this article to quickly deliver accurate Flyers vs. Kings insights, with human oversight ensuring high editorial quality. Our predictions are based on 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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