Match

KFUM Oslo vs Start: result 1-2 and analysis

1. DivisionRegular Season - 2Kick-off on April 7, 2019 at 01:00 PM (UTC)KFUM Arena, Oslo

KFUM Oslo
1-2
Start

Full time

What was the result of KFUM Oslo vs Start?

Start won 1-2 on April 7, 2019.

Goalscorers

  • 27′A. SigurðarsonStart
  • 38′K. SkaanesStart
  • 68′M. MawaKFUM Oslo

Official lineup for KFUM Oslo vs Start

The starting elevens fielded at kick-off.

KFUM Oslo

  1. 11M. Mawa
  2. 26L. Olden Larsen
  1. 7R. Rasch
  2. 8Stian Sortevik
  3. 18O. Øby
  4. 21T. Sørås
  1. 3D. Gaye
  2. 28E. Troudart
  3. 31K. Brix
  4. 33Jørgen Paulov Hammer
  1. 12K. Skjærstein

Start

  1. 11A. Sigurðarson
  2. 20M. Bringaker
  1. 4A. Aremu
  2. 18I. Twum
  3. 19K. Skaanes
  4. 23E. Segberg
  1. 3E. Berger
  2. 15H. Robstad
  3. 27E. Wichne
  4. 31D. Lowe
  1. 1Jonas Deumeland
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What is the recent form of both teams?

Over their last 15 matches in all competitions, KFUM Oslo have 2 wins, 3 draws and 10 defeats; Start have 4, 3 and 8.

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

KFUM Oslo
DateOpponentScoreCompetition
Mar 31, 2019Sandefjord(away)0-11. Division
Oct 30, 2016Raufoss(home)0-31. Division
Oct 23, 2016Mjondalen(away)0-21. Division
Oct 16, 2016jerv(home)0-11. Division
Oct 2, 2016Levanger(away)3-01. Division
Start
DateOpponentScoreCompetition
Mar 30, 2019Aalesund(home)0-11. Division
Nov 24, 2018Haugesund(away)1-3Eliteserien
Nov 11, 2018Rosenborg(home)0-1Eliteserien
Nov 4, 2018Sandefjord(away)1-4Eliteserien
Oct 29, 2018Molde(home)1-3Eliteserien

How many goals should we expect?

KFUM Oslo score 0.9 and concede 1.7 goals per match over their last 15; Start score 1.1 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
KFUM Oslo0.91.736/159/15
Start1.11.639/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
2Start301677583555

A question about KFUM Oslo vs Start?

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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