Match

Raufoss vs Ull/Kisa: result 2-1 and analysis

1. DivisionRegular Season - 5Kick-off on May 1, 2016 at 04:00 PM (UTC)NAMMO stadion, Raufoss

Raufoss
2-1
Ull/Kisa

Full time

What was the result of Raufoss vs Ull/Kisa?

Raufoss won 2-1 on May 1, 2016.

Goalscorers

  • 38′R. LekajRaufoss
  • 47′O. Kristian LangåsUll/Kisa
  • 90′R. LekajRaufoss

Official lineup for Raufoss vs Ull/Kisa

The starting elevens fielded at kick-off.

Raufoss

  1. 19S. Næss
  1. 7R. Lekaj
  2. 14H. Lysvoll
  3. 16Gondra
  4. 17H. Nome
  5. 23K. Onsrud
  1. 2A. Wrele
  2. 4S. Hjelmtvedt
  3. 6Aleksander Solli
  4. 11P. Senstad
  1. 1O. Lauvli

Ull/Kisa

  1. 5O. Kristian Langås
  2. 16K. Ødemarksbakken
  1. 7Jan Tore Amundsen
  2. 8T. Jørstad
  3. 14Nicolay Tveten Solberg
  4. 23J. Fjeldberg
  5. 27F. Krogstad
  1. 15T. Braaten
  2. 20V. Dragsnes
  3. 24M. Rosenkilde
  1. 1A. Håkull-Vangen
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Raufoss have 1 win, 1 draw and 2 defeats; Ull/Kisa have 0, 2 and 2.

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

Raufoss
DateOpponentScoreCompetition
Apr 24, 2016Kristiansund BK(away)1-21. Division
Apr 17, 2016Bryne(home)5-11. Division
Apr 10, 2016Kongsvinger(away)2-31. Division
Apr 3, 2016KFUM Oslo(home)0-01. Division
Ull/Kisa
DateOpponentScoreCompetition
Apr 24, 2016Sandefjord(home)1-21. Division
Apr 17, 2016Levanger(home)1-31. Division
Apr 10, 2016Bryne(away)1-11. Division
Apr 3, 2016Sandnes ULF(home)1-11. Division

How many goals should we expect?

Raufoss score 2.0 and concede 1.5 goals per match over their last 4; Ull/Kisa score 1.0 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Raufoss2.01.513/43/4
Ull/Kisa1.01.804/42/4

Over the last 4 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
16Raufoss246117276319

A question about Raufoss vs Ull/Kisa?

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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