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Sabres vs. Kings prediction: Buffalo favored to win Saturday's NHL matchup [3/21/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Buffalo Sabres vs Los Angeles Kings predictions for NHL Saturday.
The Los Angeles Kings will face the Buffalo Sabres, in what is expected to be a close NHL game, at Crypto.com Arena on Saturday, commencing at 4:00 PM ET.
Based on updated simulations, Dimers' advanced NHL model gives the Sabres a slight edge with a 53% win probability over the Kings.
This article offers further insights into Saturday's Sabres vs. Kings matchup, including projected goal scorers, best bets and player prop picks.
Sabres vs. Kings prediction: Who will win and cover?
Using trusted machine learning and statistical analysis, we have simulated the result of Saturday's NHL game between the Sabres and Kings 10,000 times as part of our NHL predictions coverage.
Our leading predictive model gives the Sabres a 53% chance of defeating the Kings.
According to our model, the Kings (+1.5) have a 68% chance of covering the puck line, while the over/under total of 6.5 goals has a 54% chance of staying under.
Sabres vs. Kings odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Sabres | Kings |
|---|---|---|
| Puck Line | -1.5 (+190) | +1.5 (-220) |
| Moneyline | -130 | +110 |
| Total | o6.5 (+102) | u6.5 (-120) |
All odds are correct at the time of publication and are subject to change.
Sabres vs. Kings 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 | Kings +1.5 | -220 |
| Moneyline | Kings | +110 |
| Total | Under 6.5 | -120 |
According to our NHL best bets, the top play to make on this game is Under 6.5 total goals.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Sabres vs. Kings player props
Who will score a goal in Sabres vs. Kings?
According to our model, Tage Thompson is most likely to score an anytime goal in Sabres vs. Kings.
Our projections give Thompson a 37.0% chance of scoring a goal at Crypto.com Arena, while the star is a 7.5% chance of netting the first goal the game.
Anytime goal scorer predictions
Buffalo Sabres
| Player | Anytime Goal Probability |
|---|---|
| Tage Thompson | 37.0% |
| Alex Tuch | 32.4% |
| Josh Norris | 26.4% |
| Jason Zucker | 24.5% |
| Rasmus Dahlin | 19.9% |
Los Angeles Kings
| Player | Anytime Goal Probability |
|---|---|
| Artemi Panarin | 34.4% |
| Adrian Kempe | 34.4% |
| Quinton Byfield | 27.7% |
| Alex Laferriere | 26.9% |
| Trevor Moore | 23.9% |
First goal scorer predictions
Buffalo Sabres
| Player | First Goal Probability |
|---|---|
| Tage Thompson | 7.5% |
| Alex Tuch | 6.3% |
| Josh Norris | 5.0% |
| Jason Zucker | 4.6% |
| Rasmus Dahlin | 3.8% |
Los Angeles Kings
| Player | First Goal Probability |
|---|---|
| Adrian Kempe | 7.2% |
| Artemi Panarin | 6.9% |
| Alex Laferriere | 5.2% |
| Quinton Byfield | 4.8% |
| Trevor Moore | 4.1% |
Sabres vs. Kings game-day updates and essential details
Saturday's game between the Kings and Sabres at Crypto.com Arena is scheduled to begin at 4:00 PM ET.
- Who: Buffalo Sabres vs. Los Angeles Kings
- Date: Saturday, March 21, 2026
- Time: 4:00 PM ET/1:00PM PT
- Venue: Crypto.com Arena
Conclusion
We predict the Sabres, with a 53% win probability, will likely beat the Kings on Saturday.
AI and automation have enhanced this article to quickly deliver accurate Sabres vs. Kings insights, with human oversight ensuring high editorial quality. Our predictions are based on the latest 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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