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Flyers vs. Sharks prediction: San Jose favored to win Saturday's NHL matchup [3/21/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Philadelphia Flyers vs San Jose Sharks predictions for NHL Saturday.
The San Jose Sharks and Philadelphia Flyers will meet in the NHL at SAP Center at San Jose on Saturday, starting at 4:00 PM ET.
Based on the latest simulation results, Dimers' advanced NHL model gives the Sharks a slight edge with a 52% win probability over the Flyers.
This article offers an expanded analysis of Saturday's Flyers vs. Sharks matchup, including projected goal scorers, best bets and player prop picks.
Flyers vs. Sharks prediction: Who will win and cover?
Using powerful machine learning and data analysis, we have simulated the result of Saturday's NHL game between the Flyers and Sharks 10,000 times as part of our NHL predictions coverage.
Our independent predictive model gives the Sharks a 52% chance of beating the Flyers.
According to our model, the Flyers (+1.5) have a 69% chance of covering the puck line, while the over/under total of six goals has an equal 50-50 chance of hitting.
Flyers vs. Sharks odds
We have researched the best NHL odds in America for this game, which are listed here:
| Bet Type | Flyers | Sharks |
|---|---|---|
| Puck Line | +1.5 (-225) | -1.5 (+200) |
| Moneyline | +105 | -122 |
| Total | o6 (-115) | u6 (-105) |
All odds are correct at the time of publication and are subject to change.
Flyers vs. Sharks 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 | -225 |
| Moneyline | Flyers | +105 |
| Total | Under 6 | -105 |
According to our NHL best bets, the top play to make on this game is Flyers +1.5 at the spread.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Flyers vs. Sharks player props
Who will score a goal in Flyers vs. Sharks?
According to our model, Macklin Celebrini is most likely to score an anytime goal in Flyers vs. Sharks.
Our projections give Celebrini a 47.1% chance of scoring a goal at SAP Center at San Jose, while the star is a 10.4% chance of netting the first goal the game.
Anytime goal scorer predictions
Philadelphia Flyers
| Player | Anytime Goal Probability |
|---|---|
| Travis Konecny | 37.8% |
| Owen Tippett | 33.6% |
| Matvei Michkov | 31.1% |
| Trevor Zegras | 24.2% |
| Alex Bump | 21.6% |
San Jose Sharks
| Player | Anytime Goal Probability |
|---|---|
| Macklin Celebrini | 47.1% |
| Will Smith | 31.7% |
| Kiefer Sherwood | 26.9% |
| Adam Gaudette | 25.3% |
| Michael Misa | 23.5% |
First goal scorer predictions
Philadelphia Flyers
| Player | First Goal Probability |
|---|---|
| Travis Konecny | 8.0% |
| Owen Tippett | 7.1% |
| Matvei Michkov | 5.9% |
| Trevor Zegras | 4.3% |
| Alex Bump | 3.8% |
San Jose Sharks
| Player | First Goal Probability |
|---|---|
| Macklin Celebrini | 10.4% |
| Will Smith | 6.2% |
| Kiefer Sherwood | 5.4% |
| Michael Misa | 4.3% |
| Adam Gaudette | 4.1% |
Flyers vs. Sharks game-day updates and essential details
Saturday's game between the Sharks and Flyers at SAP Center at San Jose is scheduled to begin at 4:00 PM ET.
- Who: Philadelphia Flyers vs. San Jose Sharks
- Date: Saturday, March 21, 2026
- Time: 4:00 PM ET/1:00PM PT
- Venue: SAP Center at San Jose
Conclusion
We predict the Sharks, with a 52% win probability, will likely beat the Flyers on Saturday.
AI and automation have enhanced this article to quickly deliver accurate Flyers vs. Sharks 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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