a matchup between the conferences

New York Rangers vs Utah Mammoth Head to Head

New York Rangers logo
NYR
vs
Utah Mammoth logo
UTA
common line 6.5 567891011 total goals, one dot per meeting
4 meetings since 2024. 2 finished at 5 goals or fewer, 2 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 4 meetings

4
meetings since 2024
7.25
goals per game
1 of 4
won by the home team
2 of 4
over 6.5

Mammoth lead the recent series 3 wins to 1. The home team won 1 of the 4. The only road win by either club was Mammoth 6, Rangers 5 on Oct 12, 2024.

2 of the 4 finished at 5 goals or fewer. 2 finished at 7 or more. The number never landed on 6. The busiest was Oct 12, 2024, Mammoth 6, Rangers 5, 11 goals between them. 2 of the 4 needed overtime. Most recent meeting: Jan 5, 2026, Mammoth 3, Rangers 2.

Every New York Rangers and Utah Mammoth meeting since 2024
DateResultHostGoals
Jan 5, 2026Mammoth 3, Rangers 2 (OT)Rangers5
Nov 22, 2025Mammoth 3, Rangers 2Mammoth5
Jan 16, 2025Rangers 5, Mammoth 3Mammoth8
Oct 12, 2024Mammoth 6, Rangers 5 (OT)Rangers11

Compiled from ArakIce's own game database, covering every meeting between these clubs since 2024. Percentages appear only for matchups with at least 8 meetings.

See the projection for this game

When New York Rangers and Utah Mammoth are on the slate, ArakIce projects a win probability and a total for the game.

Open ArakIce

How the model reads New York Rangers vs Utah Mammoth

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 New York Rangers vs Utah Mammoth

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.