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Red Wings vs. Stars prediction: Dallas favored to win Saturday's NHL matchup [3/14/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Detroit Red Wings vs Dallas Stars predictions for NHL Saturday.
The Dallas Stars will face the Detroit Red Wings in NHL action at American Airlines Center on Saturday, starting at 8:00 PM ET.
Based on updated simulation results, Dimers' proven NHL model predicts the Stars as the most likely winner of the Red Wings vs. Stars game.
This article offers further insights into Saturday's matchup, including projected goal scorers, best bets and player prop picks.
Red Wings vs. Stars prediction: Who will win and cover?
Using innovative machine learning and data, we have simulated the outcome of Saturday's NHL matchup between the Red Wings and Stars 10,000 times as part of our NHL predictions coverage.
Our leading predictive model currently gives the Stars a 62% chance of defeating the Red Wings.
According to our model, the Red Wings (+1.5) have a 60% chance of covering the puck line, while the over/under total of 5.5 goals has a 54% chance of going over.
Red Wings vs. Stars odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Red Wings | Stars |
|---|---|---|
| Puck Line | +1.5 (-160) | -1.5 (+136) |
| Moneyline | +160 | -190 |
| Total | o5.5 (-115) | u5.5 (-104) |
All odds are correct at the time of publication and are subject to change.
Red Wings vs. Stars 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 | Red Wings +1.5 | -160 |
| Moneyline | Red Wings | +160 |
| Total | Over 5.5 | -115 |
According to our NHL best bets, the top play to make on this game is Over 5.5 total goals.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Red Wings vs. Stars player props
Who will score a goal in Red Wings vs. Stars?
According to our model, Wyatt Johnston is most likely to score an anytime goal in Red Wings vs. Stars.
Our projections give Johnston a 41.3% chance of scoring a goal at American Airlines Center, while the star is an 8.6% chance of netting the first goal the game.
Anytime goal scorer predictions
Detroit Red Wings
| Player | Anytime Goal Probability |
|---|---|
| Alex DeBrincat | 37.6% |
| Lucas Raymond | 31.1% |
| Marco Kasper | 23.8% |
| Patrick Kane | 23.4% |
| David Perron | 17.1% |
Dallas Stars
| Player | Anytime Goal Probability |
|---|---|
| Wyatt Johnston | 41.3% |
| Jason Robertson | 40.7% |
| Matt Duchene | 29.3% |
| Mavrik Bourque | 29.2% |
| Jamie Benn | 23.2% |
First goal scorer predictions
Detroit Red Wings
| Player | First Goal Probability |
|---|---|
| Alex DeBrincat | 7.8% |
| Lucas Raymond | 6.0% |
| Marco Kasper | 4.4% |
| Patrick Kane | 4.1% |
| David Perron | 2.9% |
Dallas Stars
| Player | First Goal Probability |
|---|---|
| Wyatt Johnston | 8.6% |
| Jason Robertson | 8.6% |
| Matt Duchene | 6.0% |
| Mavrik Bourque | 5.3% |
| Jamie Benn | 4.5% |
Red Wings vs. Stars game-day updates and essential details
Saturday's matchup between the Stars and Red Wings at American Airlines Center is scheduled to begin at 8:00 PM ET.
- Who: Detroit Red Wings vs. Dallas Stars
- Date: Saturday, March 14, 2026
- Time: 8:00 PM ET/5:00PM PT
- Venue: American Airlines Center
Conclusion
We predict the Stars, with a 62% win probability, will likely beat the Red Wings on Saturday.
AI and automation have enhanced this article to quickly deliver accurate Red Wings vs. Stars 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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