a matchup between the conferences

San Jose Sharks vs Toronto Maple Leafs Head to Head

San Jose Sharks logo
SJS
vs
Toronto Maple Leafs logo
TOR
common line 6.5 4567891011 total goals, one dot per meeting
10 meetings since 2021. 6 finished at 5 goals or fewer, 4 at 7 or more, and none landed on 6.

Here is what the record between these two clubs looks like, and how ArakIce reads their next meeting.

The last 10 meetings

10
meetings since 2021
6.30
goals per game
5 of 10
won by the home team
4 of 10
over 6.5

Sharks lead the recent series 6 wins to 4. Where the game is played has mattered more than who is better. The home team won 5 of the 10 (50%). The only road win by either club was Sharks 5, Maple Leafs 3 on Oct 22, 2021.

Totals have split rather than clustered. 6 of the 10 finished at 5 goals or fewer. 4 finished at 7 or more. The number never landed on 6. The busiest was Mar 27, 2025, Sharks 6, Maple Leafs 5, 11 goals between them. 4 of the 10 needed overtime. Most recent meeting: Apr 2, 2026, Sharks 4, Maple Leafs 1.

Every San Jose Sharks and Toronto Maple Leafs meeting since 2021
DateResultHostGoals
Apr 2, 2026Sharks 4, Maple Leafs 1Sharks5
Dec 11, 2025Sharks 3, Maple Leafs 2 (OT)Maple Leafs5
Mar 27, 2025Sharks 6, Maple Leafs 5 (OT)Sharks11
Mar 3, 2025Sharks 3, Maple Leafs 2 (OT)Maple Leafs5
Jan 9, 2024Maple Leafs 7, Sharks 1Maple Leafs8
Jan 6, 2024Maple Leafs 4, Sharks 1Sharks5
Nov 30, 2022Maple Leafs 3, Sharks 1Maple Leafs4
Oct 27, 2022Sharks 4, Maple Leafs 3 (OT)Sharks7
Nov 26, 2021Maple Leafs 4, Sharks 1Sharks5
Oct 22, 2021Sharks 5, Maple Leafs 3Maple Leafs8

Compiled from ArakIce's own game database, covering every meeting between these clubs since 2021. Percentages appear only for matchups with at least 8 meetings.

See the projection for this game

When San Jose Sharks and Toronto Maple Leafs are on the slate, ArakIce projects a win probability and a total for the game.

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How the model reads San Jose Sharks vs Toronto Maple Leafs

The projection starts with expected goals, meaning the quality of chances each club creates and gives up. That holds up better than goals scored, which swing on shooting luck. From there it adjusts for what is true only of this game: who is confirmed in net, whether either club is playing a second night in a row or sitting deep in a road trip, the travel and the time zones, and the referee crew where it moves the total.

What tends to move San Jose Sharks vs Toronto Maple Leafs

These clubs meet rarely, so unfamiliarity, travel and scheduling quirks carry more weight than usual. Those are exactly the situations the model is built to read. Beyond that, the biggest movers are goaltending confirmations, home ice, and whether either side is playing a second night in a row or finishing a long trip.