Match

Nardo vs Stjørdals-Blink: result 0-0 and analysis

2. Division - Group 1Regular Season - 10Kick-off on June 15, 2019 at 02:00 PM (UTC)Phonereparatøren Arena, Trondheim

Nardo
0-0
Stjørdals-Blink

Full time

What was the result of Nardo vs Stjørdals-Blink?

Nardo and Stjørdals-Blink drew 0-0 on June 15, 2019.

Official lineup for Nardo vs Stjørdals-Blink

The starting elevens fielded at kick-off.

Nardo

  1. 6C. Engan
  2. 8A. Fossli
  1. 10O. Sæter
  2. 26D. Strandin
  3. 5E. Trondsen
  4. 9A. Vingelen
  1. 2A. Søfteland
  2. 4M. Sandvik
  3. 19J. Knutsen
  1. 1Henrik Mathias Bakke
  2. 7M. Strand

Stjørdals-Blink

  1. 9Sondre Hopmark Stokke
  2. 24M. Lillebo
  1. 5Anders Nygaard
  2. 6F. Vinje
  3. 8S. Kartum
  4. 11S. Solli
  5. 12T. Lia
  1. 2L. Ramstad
  2. 4B. Hove
  3. 14R. Williams
  4. 15V. Fiske
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What is the recent form of both teams?

Over their last 11 matches in all competitions, Nardo have 5 wins, 3 draws and 3 defeats; Stjørdals-Blink have 7, 2 and 2.

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

Nardo
DateOpponentScoreCompetition
Jun 10, 2019hodd(away)0-42. Division - Group 1
Jun 6, 2019Bryne(home)3-22. Division - Group 1
Jun 1, 2019Kvik Halden(home)2-02. Division - Group 1
May 25, 2019Byåsen(away)1-12. Division - Group 1
May 22, 2019Ranheim(home)0-3NM Cupen
Stjørdals-Blink
DateOpponentScoreCompetition
Jun 10, 2019Bryne(home)2-02. Division - Group 1
Jun 2, 2019Sola(away)1-12. Division - Group 1
May 26, 2019Vidar(home)3-02. Division - Group 1
May 22, 2019Levanger(away)0-3NM Cupen
May 16, 2019Fredrikstad(away)0-12. Division - Group 1

How many goals should we expect?

Nardo score 1.4 and concede 1.6 goals per match over their last 11; Stjørdals-Blink score 2.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nardo1.41.626/116/11
Stjørdals-Blink2.30.754/117/11

Over the last 11 matches in all competitions.

A question about Nardo vs Stjørdals-Blink?

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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