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Blues vs. Sharks prediction: St. Louis favored to win Monday's NHL matchup [3/30/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get St. Louis Blues vs San Jose Sharks predictions for NHL Monday.
The San Jose Sharks will take on the St. Louis Blues, in what is expected to be a tight NHL game, at SAP Center at San Jose on Monday, commencing at 10:00 PM ET.
Based on the latest simulation results, Dimers' advanced NHL model gives the Blues a slight edge with a 52% win probability over the Sharks.
This article offers further insights into Monday's Blues vs. Sharks matchup, including projected goal scorers, best bets and player prop picks.
Blues vs. Sharks prediction: Who will win and cover?
Using powerful machine learning and data analysis, we have simulated the result of Monday's NHL game between the Blues and Sharks, forming part of our NHL predictions coverage.
Our independent predictive model currently gives the Blues a 52% chance of defeating the Sharks.
According to our model, the Blues (+1.5) have a 72% chance of covering the puck line, while the over/under total of six goals has a 52% chance of staying under.
Blues vs. Sharks odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Blues | Sharks |
|---|---|---|
| Puck Line | +1.5 (-290) | -1.5 (+225) |
| Moneyline | -110 | -110 |
| Total | o6 (-105) | u6 (-115) |
All odds are correct at the time of publication and are subject to change.
Blues 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 | Blues +1.5 | -290 |
| Moneyline | Blues | -110 |
| Total | Under 6 | -115 |
According to our NHL best bets, the top play to make on this game is Blues to win.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Blues vs. Sharks player props
Who will score a goal in Blues vs. Sharks?
According to our model, Macklin Celebrini is most likely to score an anytime goal in Blues vs. Sharks.
Our projections give Celebrini a 37.6% chance of scoring a goal at SAP Center at San Jose, while the star is a 7.6% chance of netting the first goal the game.
Anytime goal scorer predictions
St. Louis Blues
| Player | Anytime Goal Probability |
|---|---|
| Dylan Holloway | 37.6% |
| Jordan Kyrou | 28.3% |
| Jimmy Snuggerud | 26.7% |
| Robert Thomas | 26.6% |
| Pavel Buchnevich | 21.4% |
San Jose Sharks
| Player | Anytime Goal Probability |
|---|---|
| Macklin Celebrini | 37.6% |
| Will Smith | 27.4% |
| Igor Chernyshov | 25.8% |
| Kiefer Sherwood | 23.7% |
| Tyler Toffoli | 23.0% |
First goal scorer predictions
St. Louis Blues
| Player | First Goal Probability |
|---|---|
| Dylan Holloway | 7.3% |
| Jordan Kyrou | 5.6% |
| Jimmy Snuggerud | 5.0% |
| Robert Thomas | 4.7% |
| Pavel Buchnevich | 3.9% |
San Jose Sharks
| Player | First Goal Probability |
|---|---|
| Macklin Celebrini | 7.6% |
| Will Smith | 5.6% |
| Igor Chernyshov | 4.8% |
| Kiefer Sherwood | 4.3% |
| Tyler Toffoli | 4.0% |
Blues vs. Sharks game-day updates and essential details
Monday's game between the Sharks and Blues at SAP Center at San Jose is scheduled to commence at 10:00 PM ET.
- Who: St. Louis Blues vs. San Jose Sharks
- Date: Monday, March 30, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: SAP Center at San Jose
Conclusion
We predict the Blues, with a 52% win probability, will likely beat the Sharks on Monday.
AI and automation have enhanced this article to quickly deliver accurate Blues vs. Sharks 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, head to our responsible gambling hub.
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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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