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Flyers vs. Golden Knights prediction: Vegas favored to win Monday's NHL matchup [1/19/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Philadelphia Flyers vs Vegas Golden Knights predictions for NHL Monday.
The Vegas Golden Knights and Philadelphia Flyers will lock horns in the NHL at T-Mobile Arena on Monday, with puck drop at 8:00 PM ET.
Based on updated simulation results, Dimers' proven NHL model projects the Golden Knights as the most likely winner of the Flyers vs. Golden Knights game.
This article offers a closer look at Monday's matchup, including projected goal scorers, best bets and player prop picks.
Flyers vs. Golden Knights prediction: Who will win and cover?
Using powerful machine learning and data, we have simulated the result of Monday's NHL matchup between the Flyers and Golden Knights 10,000 times as part of our NHL predictions coverage.
Our famous predictive model currently gives the Golden Knights a 63% chance of beating the Flyers.
According to our model, the Flyers (+1.5) have a 59% chance of covering the puck line, while the over/under total of six goals has a 55% chance of going over.
Flyers vs. Golden Knights odds
We have researched the best NHL odds in America for this game, which are listed here:
| Bet Type | Flyers | Golden Knights |
|---|---|---|
| Puck Line | +1.5 (-135) | -1.5 (+115) |
| Moneyline | +180 | -205 |
| Total | o6 (-120) | u6 (+100) |
All odds are correct at the time of publication and are subject to change.
Flyers vs. Golden Knights 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 | Flyers +1.5 | -135 |
| Moneyline | Flyers | +180 |
| Total | Over 6 | -120 |
According to our NHL best bets, the top play to make on this game is Flyers +1.5 at the spread.
Flyers vs. Golden Knights player props
Who will score a goal in Flyers vs. Golden Knights?
According to our model, Jack Eichel is most likely to score an anytime goal in Flyers vs. Golden Knights.
Our projections give Eichel a 36.6% chance of scoring a goal at T-Mobile Arena, while the star is a 7.8% chance of netting the first goal the game.
Anytime goal scorer predictions
Philadelphia Flyers
| Player | Anytime Goal Probability |
|---|---|
| Trevor Zegras | 28.8% |
| Owen Tippett | 28.8% |
| Travis Konecny | 28.6% |
| Matvei Michkov | 25.9% |
| Bobby Brink | 21.8% |
Vegas Golden Knights
| Player | Anytime Goal Probability |
|---|---|
| Jack Eichel | 36.6% |
| Pavel Dorofeyev | 35.3% |
| Mark Stone | 33.1% |
| Tomas Hertl | 31.5% |
| Mitch Marner | 27.2% |
First goal scorer predictions
Philadelphia Flyers
| Player | First Goal Probability |
|---|---|
| Travis Konecny | 5.7% |
| Trevor Zegras | 5.7% |
| Owen Tippett | 5.4% |
| Matvei Michkov | 4.8% |
| Bobby Brink | 3.8% |
Vegas Golden Knights
| Player | First Goal Probability |
|---|---|
| Jack Eichel | 7.8% |
| Pavel Dorofeyev | 7.0% |
| Mark Stone | 6.4% |
| Tomas Hertl | 5.8% |
| Mitch Marner | 5.0% |
Flyers vs. Golden Knights game-day updates and essential details
Monday's action between the Golden Knights and Flyers at T-Mobile Arena is scheduled to commence at 8:00 PM ET.
- Who: Philadelphia Flyers vs. Vegas Golden Knights
- Date: Monday, January 19, 2026
- Time: 8:00 PM ET/5:00PM PT
- Venue: T-Mobile Arena
Conclusion
We predict the Golden Knights, with a 63% win probability, will likely beat the Flyers on Monday.
AI and automation have enhanced this article to quickly deliver accurate Flyers 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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