Match

Rosenborg II vs Nardo: result 0-1 and analysis

2. Division - Group 2Group 2 - 10Kick-off on September 14, 2020 at 06:00 PM (UTC)Skoglunden, Trondheim

Rosenborg II
0-1
Nardo

Full time

What was the result of Rosenborg II vs Nardo?

Nardo won 0-1 on September 14, 2020.

Goalscorers

  • 39′A. GunnesNardo

Official lineup for Rosenborg II vs Nardo

The starting elevens fielded at kick-off.

Rosenborg II

  1. 3H. Berge
  2. 8E. Ceïde
  3. 9E. Kulego
  4. 16F. Brattbakk
  1. 11T. Haltvik
  2. 18O. Solnørdal
  3. 21J. Solem
  1. 6M. Ceïde
  2. 15S. Skogen
  3. 22W. Kamanzi
  1. 1J. Faye Lund

Nardo

  1. 18M. Høiseth
  2. 19A. Gunnes
  1. 8A. Krokbø
  2. 14J. Lie
  3. 23A. Rosnes
  1. 4M. Sandvik
  2. 7J. Knutsen
  3. 20S. Kjørstad
  4. 27Joakim Barstad
  5. 28Arne Holter
  1. 1Henrik Mathias Bakke
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Rosenborg II have 4 wins, 1 draw and 5 defeats; Nardo have 1, 5 and 9.

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

Rosenborg II
DateOpponentScoreCompetition
Sep 6, 2020Odd II(home)2-02. Division - Group 2
Aug 31, 2020Notodden(away)1-52. Division - Group 2
Aug 23, 2020Fram(home)3-02. Division - Group 2
Aug 17, 2020Bærum(away)2-42. Division - Group 2
Aug 10, 2020Sotra(home)1-22. Division - Group 2
Nardo
DateOpponentScoreCompetition
Sep 5, 2020Vard(away)0-52. Division - Group 2
Aug 29, 2020Bærum(home)1-12. Division - Group 2
Aug 23, 2020Odd II(away)0-22. Division - Group 2
Aug 15, 2020Fram(home)3-32. Division - Group 2
Aug 8, 2020Levanger(away)0-02. Division - Group 2

How many goals should we expect?

Rosenborg II score 1.8 and concede 2.0 goals per match over their last 10; Nardo score 0.6 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rosenborg II1.82.035/106/10
Nardo0.61.535/155/15

Over the last 10 matches in all competitions.

A question about Rosenborg II vs Nardo?

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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