Match

Egersund vs Nardo: result 3-0 and analysis

2. Division - Group 1Regular Season - 4Kick-off on May 4, 2019 at 11:30 AM (UTC)Egersund Idrettsparken, Egersund

Egersund
3-0
Nardo

Full time

What was the result of Egersund vs Nardo?

Egersund won 3-0 on May 4, 2019.

Goalscorers

  • 43′Erixon DansoEgersund
  • 45′M. NaglestadEgersund
  • 58′Bubacarr SumarehEgersund

Official lineup for Egersund vs Nardo

The starting elevens fielded at kick-off.

Egersund

  1. 11M. Naglestad
  2. 42Bubacarr Sumareh
  1. 6Henning Romslo
  2. 7C. Sleveland
  3. 19M. Bjørlo
  4. 22Erixon Danso
  5. 1N. Berg
  6. 2S. Sleveland
  1. 4K. Jablinski
  2. 9K. Nyborg
  3. 33M. Wawrzynkiewicz

Nardo

  1. 6C. Engan
  1. 10O. Sæter
  2. 26D. Strandin
  3. 5E. Trondsen
  4. 9A. Vingelen
  1. 3Vebjørn Walnum Vinje
  2. 4M. Sandvik
  3. 11J. Solli
  4. 19J. Knutsen
  1. 1Henrik Mathias Bakke
  2. 7M. Strand
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Egersund have 2 wins, 1 draw and 1 defeat; Nardo have 2, 1 and 0.

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

Egersund
DateOpponentScoreCompetition
May 1, 2019Brodd(away)2-0NM Cupen
Apr 28, 2019Moss(home)0-12. Division - Group 1
Apr 22, 2019Vidar(away)2-12. Division - Group 1
Apr 13, 2019Bryne(home)1-12. Division - Group 1
Nardo
DateOpponentScoreCompetition
May 1, 2019NTNUI(away)2-0NM Cupen
Apr 22, 2019Moss(away)2-12. Division - Group 1
Apr 13, 2019Vidar(home)1-12. Division - Group 1

How many goals should we expect?

Egersund score 1.3 and concede 0.8 goals per match over their last 4; Nardo score 1.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Egersund1.30.812/41/4
Nardo1.70.712/31/3

Over the last 4 matches in all competitions.

A question about Egersund 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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