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Maple Leafs vs. Kings prediction: Los Angeles favored to win Saturday's NHL matchup [4/4/2026]

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Written by Jason Bevilacqua

Get Toronto Maple Leafs vs Los Angeles Kings predictions for NHL Saturday.

Toronto Maple Leafs-Los Angeles Kings Predictions and Game Preview.
Toronto Maple Leafs vs. Los Angeles Kings NHL prediction for Saturday, April 4, 2026.

NHL action continues on Saturday at 7:00 PM ET as the Toronto Maple Leafs take on the Los Angeles Kings at Crypto.com Arena.

Based on updated simulation results, Dimers' advanced NHL model projects the Kings as the most likely winner of the Maple Leafs vs. Kings game.

This article offers an expanded analysis of Saturday's matchup, including projected goal scorers, best bets and player prop picks.

Maple Leafs vs. Kings prediction: Who will win and cover?

Using innovative machine learning and data, we have simulated the result of Saturday's NHL game between the Maple Leafs and Kings, forming part of our NHL predictions coverage.

Our leading predictive model gives the Kings a 61% chance of beating the Maple Leafs.

According to our model, the Maple Leafs (+1.5) have a 61% chance of covering the puck line, while the 6-goal over/under has a 52% chance of staying under.

 

Maple Leafs vs. Kings odds

We have researched the best NHL odds in America for this game, which are listed here:

Bet Type Maple Leafs Kings
Puck Line +1.5 (-150) -1.5 (+130)
Moneyline +172 -200
Total o6 (-115) u6 (-105)

All odds are correct at the time of publication and are subject to change.

Maple Leafs 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 Maple Leafs +1.5 -150
Moneyline Maple Leafs +172
Total Under 6 -105

According to our NHL best bets, the top play to make on this game is Maple Leafs to win.

These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.

 

Maple Leafs vs. Kings player props

Who will score a goal in Maple Leafs vs. Kings?

According to our model, William Nylander is most likely to score an anytime goal in Maple Leafs vs. Kings.

Our projections give Nylander a 40.3% chance of scoring a goal at Crypto.com Arena, while the star is an 8.1% chance of netting the first goal the game.

Anytime goal scorer predictions

Toronto Maple Leafs

Player Anytime Goal Probability
William Nylander 40.3%
John Tavares 35.6%
Matthew Knies 31.0%
Benoit-Olivier Groulx 19.0%
Matias Maccelli 17.1%

Los Angeles Kings

Player Anytime Goal Probability
Artemi Panarin 38.5%
Adrian Kempe 38.3%
Quinton Byfield 30.9%
Alex Laferriere 28.7%
Trevor Moore 26.4%

First goal scorer predictions

Toronto Maple Leafs

Player First Goal Probability
William Nylander 8.1%
John Tavares 7.0%
Matthew Knies 6.0%
Benoit-Olivier Groulx 3.7%
Nicholas Robertson 3.2%

Los Angeles Kings

Player First Goal Probability
Adrian Kempe 8.1%
Artemi Panarin 8.1%
Quinton Byfield 6.4%
Alex Laferriere 5.9%
Trevor Moore 4.8%

Maple Leafs vs. Kings game-day updates and essential details

Saturday's action between the Kings and Maple Leafs at Crypto.com Arena is scheduled to commence at 7:00 PM ET.

Conclusion

We predict the Kings, with a 61% win probability, will likely beat the Maple Leafs on Saturday.

AI and automation have enhanced this article to quickly deliver accurate Maple Leafs vs. Kings 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.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

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Written by
Jason Bevilacqua
Head of Content and Communities

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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