a matchup between the conferences

Philadelphia Flyers vs Utah Mammoth Head to Head

Philadelphia Flyers logo
PHI
vs
Utah Mammoth logo
UTA
common line 6.5 3456789 total goals, one dot per meeting
4 meetings since 2024. 2 finished at 5 goals or fewer, 1 at 7 or more, and 1 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
5.75
goals per game
2 of 4
won by the home team
1 of 4
over 6.5

Mammoth lead the recent series 4 wins to 0. The home team won 2 of the 4.

2 of the 4 finished at 5 goals or fewer. 1 finished at 7 or more. 1 landed on 6. The busiest was Jan 21, 2026, Mammoth 5, Flyers 4, 9 goals between them. 2 of the 4 needed overtime. Most recent meeting: Mar 5, 2026, Mammoth 3, Flyers 0.

Every Philadelphia Flyers and Utah Mammoth meeting since 2024
DateResultHostGoals
Mar 5, 2026Mammoth 3, Flyers 0Flyers3
Jan 21, 2026Mammoth 5, Flyers 4 (OT)Mammoth9
Feb 4, 2025Mammoth 3, Flyers 2 (OT)Mammoth5
Dec 8, 2024Mammoth 4, Flyers 2Flyers6

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 Philadelphia Flyers and Utah Mammoth are on the slate, ArakIce projects a win probability and a total for the game.

Open ArakIce

How the model reads Philadelphia Flyers 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 Philadelphia Flyers 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.