Match

Sandefjord vs Sandnes ULF: result 2-2 and analysis

1. DivisionRegular Season - 3Kick-off on April 17, 2016 at 01:30 PM (UTC)Jotun Arena, Sandefjord

Sandefjord
2-2
Sandnes ULF

Full time

What was the result of Sandefjord vs Sandnes ULF?

Sandefjord and Sandnes ULF drew 2-2 on April 17, 2016.

Goalscorers

  • 67′V. NisjaSandnes ULF
  • 77′Kjell Rune SellinSandefjord
  • 81′A. SødlundSandefjord
  • 90′P. EngblomSandnes ULF

Official lineup for Sandefjord vs Sandnes ULF

The starting elevens fielded at kick-off.

Sandefjord

  1. 10Peter Kovács
  1. 7Geir Ludvig Fevang
  2. 8E. Mjelde
  3. 9H. Storbæk
  4. 22A. Sødlund
  5. 25W. Kurtović
  1. 3A. Seck
  2. 4V. Bindia
  3. 27Christer Reppesgård Hansen
  4. 29Eirik Offenberg
  1. 1I. Jónsson

Sandnes ULF

  1. 8Aksel Berget Skjølsvik
  2. 11P. Engblom
  3. 30Kent Håvard Eriksen
  1. 17E. Schulze
  2. 21Anel Rashkaj
  3. 36B. Zajić
  1. 6Trond Erik Bertelsen
  2. 14N. Geertsen
  3. 19M. Nielsen
  4. 29Jørgen Olsen Øveraas
  1. 1Saku-Pekka Sahlgren
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Sandefjord have 1 win, 0 draws and 1 defeat; Sandnes ULF have 1, 1 and 0.

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

Sandefjord
DateOpponentScoreCompetition
Apr 10, 2016Levanger(away)0-11. Division
Apr 3, 2016Strommen(home)4-11. Division
Sandnes ULF
DateOpponentScoreCompetition
Apr 11, 2016Mjondalen(home)5-01. Division
Apr 3, 2016Ull/Kisa(away)1-11. Division

How many goals should we expect?

Sandefjord score 2.0 and concede 1.0 goals per match over their last 2; Sandnes ULF score 3.0 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sandefjord2.01.001/21/2
Sandnes ULF3.00.511/21/2

Over the last 2 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
13Sandnes ULF267514375026

A question about Sandefjord vs Sandnes ULF?

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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