Match

KFUM Oslo vs Mjondalen: result 0-1 and analysis

1. DivisionRegular Season - 13Kick-off on June 19, 2016 at 04:00 PM (UTC)KFUM Arena, Oslo

KFUM Oslo
0-1
Mjondalen

Full time

What was the result of KFUM Oslo vs Mjondalen?

Mjondalen won 0-1 on June 19, 2016.

Goalscorers

  • 74′U. ArnebergMjondalen

Official lineup for KFUM Oslo vs Mjondalen

The starting elevens fielded at kick-off.

KFUM Oslo

  1. 11D. Obeng
  2. 26Emil Ekblom
  1. 7R. Rasch
  2. 10C. Dahl
  3. 14E. Jonvik
  4. 16S. Pettersen
  1. 3Ciisè Aaden Abshir
  2. 17E. Skaga
  3. 20J. Norheim
  4. 27N. Aarø
  1. 13Lars Hirschfeld

Mjondalen

  1. 7A. Pellegrino
  2. 10Erik Midtgarden
  1. 9Mads Hansen
  2. 11C. Gauseth
  3. 16M. Gundersen
  4. 19J. Lindseth
  5. 23L. Fuhre
  1. 2U. Arneberg
  2. 3J. Solberg
  3. 22Morten Sundli
  1. 30M. Priis Jørgensen
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What is the recent form of both teams?

Over their last 12 matches in all competitions, KFUM Oslo have 4 wins, 4 draws and 4 defeats; Mjondalen have 3, 5 and 4.

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

KFUM Oslo
DateOpponentScoreCompetition
Jun 12, 2016hodd(away)2-11. Division
Jun 5, 2016Ull/Kisa(home)0-01. Division
May 29, 2016Sandnes ULF(away)2-61. Division
May 22, 2016Levanger(home)5-01. Division
May 16, 2016Bryne(away)1-01. Division
Mjondalen
DateOpponentScoreCompetition
Jun 11, 2016Asane(home)2-01. Division
Jun 5, 2016Ranheim(away)2-21. Division
May 30, 2016Raufoss(home)1-11. Division
May 21, 2016jerv(away)1-11. Division
May 16, 2016Ull/Kisa(away)1-51. Division

How many goals should we expect?

KFUM Oslo score 1.3 and concede 1.4 goals per match over their last 12; Mjondalen score 1.4 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
KFUM Oslo1.31.455/125/12
Mjondalen1.41.927/127/12

Over the last 12 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
15Mjondalen306717367125

A question about KFUM Oslo vs Mjondalen?

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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