Match

Mjølner vs Floro: result 0-1 and analysis

2. Division - Group 2Regular Season - 9Kick-off on June 8, 2019 at 01:00 PM (UTC)Narvik Stadion, Narvik

Mjølner
0-1
Floro

Full time

What was the result of Mjølner vs Floro?

Floro won 0-1 on June 8, 2019.

Goalscorers

  • 41′Vegard SavlandFloro

Official lineup for Mjølner vs Floro

The starting elevens fielded at kick-off.

Mjølner

  1. 8Ņ. Kaļiņins
  2. 9E. Skogvoll
  3. 18W. Hanssen
  4. 30M. Nicolaisen
  1. 10M. Johnsen
  2. 15T. Torbla
  3. 16F. Arntsen
  1. 5M. Laudal
  2. 19N. Antonsen
  3. 25E. Okine
  1. 12Daniel Dehnes Ravneng

Floro

  1. 9Kasper Højvig Nissen
  2. 10L. Callaku
  3. 20Vegard Savland
  1. 11E. Høydal
  2. 21T. Naustdal
  3. 23H. Solheim-Olsen
  1. 2T. Aarønes
  2. 5C. Husa
  3. 16Simen Reksten Solheim
  4. 58H. Kuruçay
  1. 12M. Fabricius Jensen
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What is the recent form of both teams?

Over their last 9 matches in all competitions, Mjølner have 3 wins, 0 draws and 6 defeats; Floro have 4, 4 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Mjølner
DateOpponentScoreCompetition
Jun 5, 2019Sotra(away)0-32. Division - Group 2
Jun 2, 2019Odd II(home)1-02. Division - Group 2
May 26, 2019Senja(away)2-12. Division - Group 2
May 19, 2019Kjelsås(home)1-32. Division - Group 2
May 12, 2019Elverum(away)1-22. Division - Group 2
Floro
DateOpponentScoreCompetition
Jun 1, 2019Senja(home)1-12. Division - Group 2
May 26, 2019Kjelsås(away)1-32. Division - Group 2
May 22, 2019Aalesund(home)0-1NM Cupen
May 16, 2019Elverum(home)2-02. Division - Group 2
May 11, 2019Asane(away)0-02. Division - Group 2

How many goals should we expect?

Mjølner score 0.8 and concede 2.0 goals per match over their last 9; Floro score 0.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mjølner0.82.024/96/9
Floro0.71.166/155/15

Over the last 9 matches in all competitions.

A question about Mjølner vs Floro?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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