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Maple Leafs vs. Blues prediction: St. Louis favored to win Saturday's NHL matchup [3/28/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Toronto Maple Leafs vs St. Louis Blues predictions for NHL Saturday.
The St. Louis Blues will take on the Toronto Maple Leafs in NHL action at Enterprise Center on Saturday, commencing at 7:00 PM ET.
Based on the latest simulation results, Dimers' proven NHL model predicts the Blues as the most likely winner of the Maple Leafs vs. Blues game.
This article offers a closer look at Saturday's matchup, including projected goal scorers, best bets and player prop picks.
Maple Leafs vs. Blues prediction: Who will win and cover?
Using powerful machine learning and data, we have simulated the result of Saturday's NHL game between the Maple Leafs and Blues, forming part of our NHL predictions coverage.
Our famous predictive model gives the Blues a 55% chance of beating the Maple Leafs.
According to our model, the Maple Leafs (+1.5) have a 67% chance of covering the puck line, while the 6-goal over/under has a 51% chance of staying under.
Maple Leafs vs. Blues odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Maple Leafs | Blues |
|---|---|---|
| Puck Line | +1.5 (-190) | -1.5 (+170) |
| Moneyline | +126 | -148 |
| Total | o6 (-105) | u6 (-115) |
All odds are correct at the time of publication and are subject to change.
Maple Leafs vs. Blues 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 | Maple Leafs +1.5 | -190 |
| Moneyline | Maple Leafs | +126 |
| Total | Over 6 | -105 |
According to our NHL best bets, the top play to make on this game is Maple Leafs +1.5 at the spread.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Maple Leafs vs. Blues player props
Who will score a goal in Maple Leafs vs. Blues?
According to our model, William Nylander is most likely to score an anytime goal in Maple Leafs vs. Blues.
Our projections give Nylander a 42.1% chance of scoring a goal at Enterprise Center, while the star is a 9.2% chance of netting the first goal the game.
Anytime goal scorer predictions
Toronto Maple Leafs
| Player | Anytime Goal Probability |
|---|---|
| William Nylander | 42.1% |
| John Tavares | 39.3% |
| Matthew Knies | 36.3% |
| Matias Maccelli | 24.1% |
| Easton Cowan | 18.5% |
St. Louis Blues
| Player | Anytime Goal Probability |
|---|---|
| Dylan Holloway | 37.1% |
| Jordan Kyrou | 28.3% |
| Robert Thomas | 27.4% |
| Jimmy Snuggerud | 25.6% |
| Pavel Buchnevich | 23.5% |
First goal scorer predictions
Toronto Maple Leafs
| Player | First Goal Probability |
|---|---|
| William Nylander | 9.2% |
| John Tavares | 8.7% |
| Matthew Knies | 7.2% |
| Matias Maccelli | 4.0% |
| Easton Cowan | 3.4% |
St. Louis Blues
| Player | First Goal Probability |
|---|---|
| Dylan Holloway | 8.2% |
| Jimmy Snuggerud | 5.0% |
| Jordan Kyrou | 4.9% |
| Robert Thomas | 4.9% |
| Pavel Buchnevich | 4.2% |
Maple Leafs vs. Blues game-day updates and essential details
Saturday's action between the Blues and Maple Leafs at Enterprise Center is scheduled to begin at 7:00 PM ET.
- Who: Toronto Maple Leafs vs. St. Louis Blues
- Date: Saturday, March 28, 2026
- Time: 7:00 PM ET/4:00PM PT
- Venue: Enterprise Center
Conclusion
We predict the Blues, with a 55% win probability, will likely beat the Maple Leafs on Saturday.
AI and automation have enhanced this article to quickly deliver accurate Maple Leafs vs. Blues insights, with human oversight ensuring high editorial quality. Our predictions are drawn from the latest 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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