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Flyers vs. Ducks prediction: Why Anaheim is favored to win Wednesday's NHL matchup [3/18/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Philadelphia Flyers vs Anaheim Ducks predictions for NHL Wednesday.
The Anaheim Ducks will face the Philadelphia Flyers in NHL action at Honda Center on Wednesday, beginning at 10:00 PM ET.
Based on the latest simulation results, Dimers' proven NHL model projects the Ducks as the most likely winner of the Flyers vs. Ducks game.
This article offers further insights into Wednesday's matchup, including projected goal scorers, best bets and player prop picks.
Flyers vs. Ducks prediction: Who will win and cover?
Using powerful machine learning and data analysis, we have simulated the outcome of Wednesday's NHL game between the Flyers and Ducks 10,000 times as part of our NHL predictions coverage.
Our famous predictive model currently gives the Ducks a 56% chance of defeating the Flyers.
According to our model, the Flyers (+1.5) have a 66% chance of covering the puck line, while the over/under total of 6.5 goals has a 55% chance of staying under.
Flyers vs. Ducks odds
We have researched the best NHL odds in America for this game, which are listed here:
| Bet Type | Flyers | Ducks |
|---|---|---|
| Puck Line | +1.5 (-198) | -1.5 (+165) |
| Moneyline | +130 | -150 |
| Total | o6.5 (-102) | u6.5 (-115) |
All odds are correct at the time of publication and are subject to change.
Flyers vs. Ducks 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 | Flyers +1.5 | -198 |
| Moneyline | Flyers | +130 |
| Total | Under 6.5 | -115 |
According to our NHL best 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.
Flyers vs. Ducks player props
Who will score a goal in Flyers vs. Ducks?
According to our model, Travis Konecny is most likely to score an anytime goal in Flyers vs. Ducks.
Our projections give Konecny a 37.8% chance of scoring a goal at Honda Center, while the star is a 7.5% chance of registering the first goal the game.
Anytime goal scorer predictions
Philadelphia Flyers
| Player | Anytime Goal Probability |
|---|---|
| Travis Konecny | 37.8% |
| Owen Tippett | 31.1% |
| Matvei Michkov | 30.2% |
| Trevor Zegras | 23.7% |
| Alex Bump | 21.2% |
Anaheim Ducks
| Player | Anytime Goal Probability |
|---|---|
| Cutter Gauthier | 34.9% |
| Leo Carlsson | 29.3% |
| Chris Kreider | 29.2% |
| Beckett Sennecke | 24.9% |
| Alex Killorn | 24.4% |
First goal scorer predictions
Philadelphia Flyers
| Player | First Goal Probability |
|---|---|
| Travis Konecny | 7.5% |
| Owen Tippett | 6.0% |
| Matvei Michkov | 5.9% |
| Trevor Zegras | 4.2% |
| Alex Bump | 3.6% |
Anaheim Ducks
| Player | First Goal Probability |
|---|---|
| Cutter Gauthier | 6.8% |
| Leo Carlsson | 5.8% |
| Chris Kreider | 5.7% |
| Beckett Sennecke | 4.7% |
| Alex Killorn | 4.7% |
Flyers vs. Ducks game-day updates and essential details
Wednesday's game between the Ducks and Flyers at Honda Center is scheduled to begin at 10:00 PM ET.
- Who: Philadelphia Flyers vs. Anaheim Ducks
- Date: Wednesday, March 18, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: Honda Center
Conclusion
We predict the Ducks, with a 56% win probability, will likely beat the Flyers on Wednesday.
AI and automation have enhanced this article to quickly deliver accurate Flyers vs. Ducks 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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