Match

Fredrikstad vs KFUM Oslo: result 1-1 and analysis

1. DivisionRegular Season - 14Kick-off on June 26, 2016 at 04:00 PM (UTC)Nye Fredrikstad Stadion, Fredrikstad

Fredrikstad
1-1
KFUM Oslo

Full time

What was the result of Fredrikstad vs KFUM Oslo?

Fredrikstad and KFUM Oslo drew 1-1 on June 26, 2016.

Goalscorers

  • 9′D. ObengKFUM Oslo
  • 33′Sanel KapidžićFredrikstad

Official lineup for Fredrikstad vs KFUM Oslo

The starting elevens fielded at kick-off.

Fredrikstad

  1. 10Sanel Kapidžić
  2. 23E. Tønne
  3. 28M. N'Diaye
  1. 6P. Karoliussen
  2. 20H. Åsheim
  1. 2Magne Simonsen
  2. 4A. Straith
  3. 11K. Brix
  4. 18L. Begby
  5. 26Martin Thømt Jensen
  1. 1H. Jensen

KFUM Oslo

  1. 11D. Obeng
  1. 7R. Rasch
  2. 8Stian Sortevik
  3. 10C. Dahl
  4. 14E. Jonvik
  5. 16S. Pettersen
  1. 3Ciisè Aaden Abshir
  2. 17E. Skaga
  3. 20J. Norheim
  4. 27N. Aarø
  1. 13Lars Hirschfeld
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Fredrikstad have 4 wins, 2 draws and 7 defeats; KFUM Oslo have 4, 4 and 5.

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

Fredrikstad
DateOpponentScoreCompetition
Jun 19, 2016Kongsvinger(away)2-11. Division
Jun 12, 2016Bryne(home)2-11. Division
Jun 6, 2016jerv(away)0-11. Division
May 28, 2016hodd(home)1-01. Division
May 22, 2016Asane(away)0-31. Division
KFUM Oslo
DateOpponentScoreCompetition
Jun 19, 2016Mjondalen(home)0-11. Division
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

How many goals should we expect?

Fredrikstad score 0.9 and concede 1.6 goals per match over their last 13; KFUM Oslo score 1.2 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fredrikstad0.91.627/138/13
KFUM Oslo1.21.455/135/13

Over the last 13 matches in all competitions.

A question about Fredrikstad vs KFUM Oslo?

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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