Match

Nardo vs Bærum: result 1-1 and analysis

2. Division - Group 2Group 2 - 8Kick-off on August 29, 2020 at 12:00 PM (UTC)Phonereparatøren Arena, Trondheim

Nardo
1-1
Bærum

Full time

What was the result of Nardo vs Bærum?

Nardo and Bærum drew 1-1 on August 29, 2020.

Goalscorers

  • 5′K. SørensenBærum
  • 30′A. GunnesNardo (pen.)

Official lineup for Nardo vs Bærum

The starting elevens fielded at kick-off.

Nardo

  1. 13R. Stene
  2. 18M. Høiseth
  3. 19A. Gunnes
  1. 8A. Krokbø
  2. 10M. Romsdalen
  3. 23A. Rosnes
  1. 2S. Nordeide
  2. 4M. Sandvik
  3. 7J. Knutsen
  4. 22Ó. Magnusson
  1. 1Henrik Mathias Bakke

Bærum

  1. 19K. Sørensen
  2. 20A. Pellegrino
  1. 7D. Berg
  2. 15N. Grimstad
  1. 2J. Vedal Sjøl
  2. 3A. Ali
  3. 5Lars Ivar Slemdal
  4. 10Jan Christian Egseth Aubert
  5. 16E. Frøysa
  6. 25R. Ziko
  1. 1S. Midtgarden
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Nardo have 1 win, 4 draws and 10 defeats; Bærum have 3, 4 and 8.

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

Nardo
DateOpponentScoreCompetition
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
Aug 2, 2020Egersund(away)2-12. Division - Group 2
Jul 25, 2020Bryne(home)2-32. Division - Group 2
Bærum
DateOpponentScoreCompetition
Aug 22, 2020Vard(home)1-32. Division - Group 2
Aug 17, 2020Rosenborg II(home)4-22. Division - Group 2
Aug 10, 2020Odd II(away)1-12. Division - Group 2
Aug 1, 2020Flekkerøy(home)1-22. Division - Group 2
Jul 25, 2020Asker(away)1-22. Division - Group 2

How many goals should we expect?

Nardo score 0.7 and concede 1.7 goals per match over their last 15; Bærum score 1.1 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nardo0.71.735/155/15
Bærum1.11.8410/159/15

Over the last 15 matches in all competitions.

A question about Nardo vs Bærum?

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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