Match

Skeid vs Sandnes ULF: result 0-0 and analysis

1. DivisionRegular Season - 9Kick-off on May 26, 2019 at 04:00 PM (UTC)Nordre Åsen kunstgress, Oslo

Skeid
0-0
Sandnes ULF

Full time

What was the result of Skeid vs Sandnes ULF?

Skeid and Sandnes ULF drew 0-0 on May 26, 2019.

Official lineup for Skeid vs Sandnes ULF

The starting elevens fielded at kick-off.

Skeid

  1. 8Mustafa Ahmed Hassan
  2. 9D. Tavakoli
  3. 11J. Buduson
  4. 16J. Hummelvoll-Nuñez
  1. 6M. Mahnin
  2. 7H. Yousef
  1. 5T. Skogsrud
  2. 17A. Aleesami
  3. 18F. Berglie
  4. 19A. El Amrani
  1. 30I. Lysgård

Sandnes ULF

  1. 9O. Ugwuadu
  2. 15V. Erlien
  3. 30Kent Håvard Eriksen
  1. 7Simón Colina
  2. 8J. Laaksonen
  3. 17I. Halgunset
  1. 4A. Kryger
  2. 5Daniel Edvardsen
  3. 14A. Akinyemi
  4. 16Tapio Heikkilä
  1. 1Saku-Pekka Sahlgren
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Skeid have 3 wins, 3 draws and 4 defeats; Sandnes ULF have 6, 5 and 4.

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

Skeid
DateOpponentScoreCompetition
May 22, 2019Kjelsås(away)0-0NM Cupen
May 16, 2019Sandefjord(away)0-11. Division
May 12, 2019Raufoss(home)2-31. Division
May 5, 2019Ull/Kisa(away)2-31. Division
May 1, 2019IF Ready(away)9-0NM Cupen
Sandnes ULF
DateOpponentScoreCompetition
May 22, 2019Vard(away)0-0NM Cupen
May 16, 2019Raufoss(away)5-21. Division
May 12, 2019Sandefjord(home)2-41. Division
May 5, 2019Ham-Kam(away)3-21. Division
May 1, 2019Madla(away)2-0NM Cupen

How many goals should we expect?

Skeid score 2.0 and concede 1.2 goals per match over their last 10; Sandnes ULF score 1.7 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skeid2.01.254/105/10
Sandnes ULF1.71.469/157/15

Over the last 10 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
13Sandnes ULF257513364626

A question about Skeid 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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