Match

Sevilla vs Molde: result 3-0 and analysis

UEFA Europa League16th FinalsKick-off on February 18, 2016 at 06:00 PM (UTC)Estadio Ramón Sánchez Pizjuán, Sevilla

Sevilla
3-0
Molde

Full time

What was the result of Sevilla vs Molde?

Sevilla won 3-0 on February 18, 2016.

Goalscorers

  • 35′LlorenteSevilla
  • 49′LlorenteSevilla
  • 72′K. GameiroSevilla

Official lineup for Sevilla vs Molde

The starting elevens fielded at kick-off.

Sevilla

  1. 24Llorente
  1. 7M. Krohn-Dehli
  2. 14S. Cristóforo
  3. 15S. Nzonzi
  4. 19É. Banega
  5. 20Vitolo
  1. 5T. Kolodziejczak
  2. 6Daniel Filipe Martins Carriço
  3. 18Sergio Escudero
  4. 23Coke
  1. 31David Soria

Molde

  1. 8F. Gulbrandsen
  2. 9M. Moström
  3. 30Pape Patè Diouf
  1. 6Daniel Berg Hestad
  2. 17F. Aursnes
  3. 24M. Elyounoussi
  1. 4R. Gabrielsen
  2. 5J. Toivio
  3. 15P. Flo
  4. 25V. Forren
  1. 1E. Horvath
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sevilla have 8 wins, 4 draws and 3 defeats; Molde have 5, 6 and 4.

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

Sevilla
DateOpponentScoreCompetition
Feb 14, 2016Las Palmas(home)2-0La Liga
Feb 7, 2016Celta Vigo(away)1-1La Liga
Jan 31, 2016Levante(home)3-1La Liga
Jan 24, 2016Atletico Madrid(away)0-0La Liga
Jan 16, 2016Malaga(home)2-1La Liga
Molde
DateOpponentScoreCompetition
Dec 10, 2015Ajax(away)1-1UEFA Europa League
Nov 26, 2015Fenerbahçe(home)0-2UEFA Europa League
Nov 5, 2015Celtic(away)2-1UEFA Europa League
Oct 22, 2015Celtic(home)3-1UEFA Europa League
Oct 1, 2015Ajax(home)1-1UEFA Europa League

How many goals should we expect?

Sevilla score 1.3 and concede 0.8 goals per match over their last 15; Molde score 1.7 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sevilla1.30.886/154/15
Molde1.71.3211/157/15

Over the last 15 matches in all competitions.

A question about Sevilla vs Molde?

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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