a matchup between the conferences

Tampa Bay Lightning vs Utah Mammoth Head to Head

Tampa Bay Lightning logo
TBL
vs
Utah Mammoth logo
UTA
common line 6.5 2345678910 total goals, one dot per meeting
4 meetings since 2025. 1 finished at 5 goals or fewer, 2 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 2025
6.50
goals per game
3 of 4
won by the home team
2 of 4
over 6.5

Lightning lead the recent series 3 wins to 1. The home team won 3 of the 4. The only road win by either club was Lightning 4, Mammoth 2 on Nov 2, 2025.

1 of the 4 finished at 5 goals or fewer. 2 finished at 7 or more. 1 landed on 6. The busiest was Mar 22, 2025, Mammoth 6, Lightning 4, 10 goals between them. 0 of the 4 needed overtime. Most recent meeting: Jan 26, 2026, Lightning 2, Mammoth 0.

Every Tampa Bay Lightning and Utah Mammoth meeting since 2025
DateResultHostGoals
Jan 26, 2026Lightning 2, Mammoth 0Lightning2
Nov 2, 2025Lightning 4, Mammoth 2Mammoth6
Mar 27, 2025Lightning 8, Mammoth 0Lightning8
Mar 22, 2025Mammoth 6, Lightning 4Mammoth10

Compiled from ArakIce's own game database, covering every meeting between these clubs since 2025. Percentages appear only for matchups with at least 8 meetings.

See the projection for this game

When Tampa Bay Lightning and Utah Mammoth are on the slate, ArakIce projects a win probability and a total for the game.

Open ArakIce

How the model reads Tampa Bay Lightning 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 Tampa Bay Lightning 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.