Match

Odd II vs Moss: result 1-3 and analysis

2. Division - Group 1Group 1 - 9Kick-off on June 6, 2022 at 02:00 PM (UTC)Skagerak Arena, Skien

Odd II
1-3
Moss

Full time

What was the result of Odd II vs Moss?

Moss won 1-3 on June 6, 2022.

Goalscorers

  • 14′F. JørgensenOdd II
  • 36′A. AliMoss
  • 81′N. AlexanderssonMoss
  • 86′M. AndresenMoss

Official lineup for Odd II vs Moss

The starting elevens fielded at kick-off.

Odd II

  1. 9F. Tewelde
  2. 19O. Ugwuadu
  1. 5J. Ulsnes
  2. 6S. Jørgensen
  3. 7F. Jørgensen
  4. 18S. Aas
  1. 2E. Gisa
  2. 17D. Gjengaar
  3. 20E. Rosvold
  4. 23J. Skau
  1. 12P. Nygaard Klausen

Moss

  1. 9A. Ali
  2. 23N. Alexandersson
  1. 8V. Hellestø
  2. 14Cláudio Braga
  3. 15A. Håpnes
  4. 26O. Kjeilen Stavdal
  1. 3K. Strande
  2. 4S. Andersen
  3. 16S. Gray
  4. 24M. Welinder
  1. 1M. Ranmark
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Odd II have 5 wins, 3 draws and 7 defeats; Moss have 10, 0 and 5.

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

Odd II
DateOpponentScoreCompetition
May 30, 2022Vard(away)2-22. Division - Group 1
May 23, 2022Sotra(home)1-12. Division - Group 1
May 14, 2022Øygarden(away)1-22. Division - Group 1
May 8, 2022Staal Jørpeland(home)3-22. Division - Group 1
Apr 30, 2022Ullern(away)0-22. Division - Group 1
Moss
DateOpponentScoreCompetition
May 28, 2022Strommen(home)2-12. Division - Group 1
May 22, 2022Flekkerøy(away)2-02. Division - Group 1
May 19, 2022Sprint-Jeløy(away)3-2NM Cupen
May 16, 2022Ørn Horten(home)1-02. Division - Group 1
May 7, 2022Øygarden(home)3-12. Division - Group 1

How many goals should we expect?

Odd II score 1.6 and concede 2.0 goals per match over their last 15; Moss score 1.7 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Odd II1.62.019/159/15
Moss1.71.239/159/15

Over the last 15 matches in all competitions.

A question about Odd II vs Moss?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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