a matchup between the conferences
Minnesota Wild vs Toronto Maple Leafs Head to Head
Here is what the record between these two clubs looks like, and how ArakIce reads their next meeting.
The last 10 meetings
Maple Leafs lead the recent series 6 wins to 4. The home team won 5 of the 10 (50%).
4 of the 10 finished at 5 goals or fewer. 5 finished at 7 or more. 1 landed on 6. The busiest was Oct 14, 2023, Maple Leafs 7, Wild 4, 11 goals between them. 4 of the 10 needed overtime. Most recent meeting: Mar 15, 2026, Maple Leafs 4, Wild 2.
| Date | Result | Host | Goals |
|---|---|---|---|
| Mar 15, 2026 | Maple Leafs 4, Wild 2 | Wild | 6 |
| Jan 19, 2026 | Wild 6, Maple Leafs 3 | Maple Leafs | 9 |
| Jan 29, 2025 | Wild 3, Maple Leafs 1 | Maple Leafs | 4 |
| Nov 3, 2024 | Wild 2, Maple Leafs 1 (OT) | Wild | 3 |
| Nov 19, 2023 | Maple Leafs 4, Wild 3 (OT) | Wild | 7 |
| Oct 14, 2023 | Maple Leafs 7, Wild 4 | Maple Leafs | 11 |
| Feb 24, 2023 | Maple Leafs 2, Wild 1 (OT) | Maple Leafs | 3 |
| Nov 25, 2022 | Maple Leafs 4, Wild 3 | Wild | 7 |
| Feb 24, 2022 | Maple Leafs 3, Wild 1 | Maple Leafs | 4 |
| Dec 4, 2021 | Wild 4, Maple Leafs 3 (OT) | Wild | 7 |
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 Minnesota Wild and Toronto Maple Leafs are on the slate, ArakIce projects a win probability and a total for the game.
Open ArakIceHow the model reads Minnesota Wild 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 Minnesota Wild 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.