Match

Linfield vs Rosenborg: result 0-2 and analysis

UEFA Champions League1st Qualifying RoundKick-off on July 10, 2019 at 06:45 PM (UTC)Windsor Park, Belfast

Linfield
0-2
Rosenborg

Full time

What was the result of Linfield vs Rosenborg?

Rosenborg won 0-2 on July 10, 2019.

Goalscorers

  • 22′M. JensenRosenborg
  • 69′A. SøderlundRosenborg

Official lineup for Linfield vs Rosenborg

The starting elevens fielded at kick-off.

Linfield

4-4-2
  1. 10J. Stewart
  2. 7Andrew Waterworth
  1. 8Bastien Charles Patrick Héry
  2. 12K. Millar
  3. 6J. Callacher
  4. 22J. Mulgrew
  1. 31N. Quinn
  2. 2M. Stafford
  3. 16M. Clarke
  4. 47C. Casement
  1. 35G. Deane

Rosenborg

4-3-3
  1. 17D. Akintola
  2. 14A. Søderlund
  3. 25M. Lundemo
  1. 22G. Åsen
  2. 8A. Konradsen
  3. 7M. Jensen
  1. 3B. Meling
  2. 2V. Hedenstad
  3. 16E. Hovland
  4. 4Tore Reginiussen
  1. 1A. Hansen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Linfield have 11 wins, 2 draws and 2 defeats; Rosenborg have 9, 3 and 3.

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

Linfield
DateOpponentScoreCompetition
Apr 27, 2019Coleraine FC(away)1-1Premiership
Apr 23, 2019Cliftonville FC(home)5-1Premiership
Apr 20, 2019Glenavon FC(home)0-4Premiership
Apr 13, 2019Crusaders FC(home)0-0Premiership
Apr 5, 2019Ballymena United(away)1-0Premiership
Rosenborg
DateOpponentScoreCompetition
Jul 4, 2019Ranheim(away)3-2Eliteserien
Jun 29, 2019Kristiansund BK(home)1-0Eliteserien
Jun 26, 2019Aalesund(home)1-1NM Cupen
Jun 23, 2019Tromso(away)0-1Eliteserien
Jun 19, 2019Ull/Kisa(away)2-1NM Cupen

How many goals should we expect?

Linfield score 1.8 and concede 0.8 goals per match over their last 15; Rosenborg score 1.5 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Linfield1.80.894/155/15
Rosenborg1.50.966/157/15

Over the last 15 matches in all competitions.

A question about Linfield vs Rosenborg?

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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