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Senators vs. Kraken prediction: Ottawa favored to win Saturday's NHL matchup [3/7/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Ottawa Senators vs Seattle Kraken predictions for NHL Saturday.
The Seattle Kraken will take on the Ottawa Senators in NHL action at Climate Pledge Arena on Saturday, commencing at 10:00 PM ET.
Based on the latest simulation results, Dimers' advanced NHL model projects the Senators as the most likely winner of the Senators vs. Kraken game.
This article offers a closer look at Saturday's matchup, including projected goal scorers, best bets and player prop picks.
Senators vs. Kraken prediction: Who will win and cover?
Using innovative machine learning and data, we have simulated the outcome of Saturday's NHL game between the Senators and Kraken 10,000 times as part of our NHL predictions coverage.
Our independent predictive model currently gives the Senators a 56% chance of defeating the Kraken.
According to our model, the Kraken (+1.5) have a 65% chance of covering the puck line, while the 5.5-goal over/under has a 53% chance of going over.
Senators vs. Kraken odds
We have researched the best NHL odds in America for this game, which are listed here:
| Bet Type | Senators | Kraken |
|---|---|---|
| Puck Line | -1.5 (+154) | +1.5 (-185) |
| Moneyline | -160 | +136 |
| Total | o5.5 (-124) | u5.5 (+105) |
All odds are correct at the time of publication and are subject to change.
Senators vs. Kraken 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 | Kraken +1.5 | -185 |
| Moneyline | Kraken | +136 |
| Total | Over 5.5 | -124 |
According to our NHL best bets, the top play to make on this game is Kraken to win.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Senators vs. Kraken player props
Who will score a goal in Senators vs. Kraken?
According to our model, Brady Tkachuk is most likely to score an anytime goal in Senators vs. Kraken.
Our projections give Tkachuk a 31.5% chance of scoring a goal at Climate Pledge Arena, while the star is a 5.9% chance of netting the first goal the game.
Anytime goal scorer predictions
Ottawa Senators
| Player | Anytime Goal Probability |
|---|---|
| Brady Tkachuk | 31.5% |
| Tim Stutzle | 30.4% |
| Drake Batherson | 27.3% |
| Dylan Cozens | 24.7% |
| Shane Pinto | 24.0% |
Seattle Kraken
| Player | Anytime Goal Probability |
|---|---|
| Jared McCann | 29.3% |
| Matty Beniers | 25.0% |
| Shane Wright | 24.7% |
| Jordan Eberle | 24.1% |
| Eeli Tolvanen | 23.4% |
First goal scorer predictions
Ottawa Senators
| Player | First Goal Probability |
|---|---|
| Tim Stutzle | 6.2% |
| Brady Tkachuk | 5.9% |
| Drake Batherson | 5.6% |
| Dylan Cozens | 4.5% |
| Shane Pinto | 4.1% |
Seattle Kraken
| Player | First Goal Probability |
|---|---|
| Jared McCann | 6.1% |
| Eeli Tolvanen | 4.8% |
| Jordan Eberle | 4.5% |
| Shane Wright | 4.4% |
| Matty Beniers | 4.4% |
Senators vs. Kraken game-day updates and essential details
Saturday's matchup between the Kraken and Senators at Climate Pledge Arena is scheduled to commence at 10:00 PM ET.
- Who: Ottawa Senators vs. Seattle Kraken
- Date: Saturday, March 7, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: Climate Pledge Arena
Conclusion
We predict the Senators, with a 56% win probability, will likely beat the Kraken on Saturday.
AI and automation have enhanced this article to quickly deliver accurate Senators vs. Kraken insights, with human oversight ensuring high editorial quality. Our predictions are drawn 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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