Match

Sevilla vs AS Roma: result 2-0 and analysis

UEFA Europa League8th FinalsKick-off on August 6, 2020 at 04:55 PM (UTC)Schauinsland-Reisen-Arena, Duisburg

Sevilla
2-0
AS Roma

Full time

What was the result of Sevilla vs AS Roma?

Sevilla won 2-0 on August 6, 2020.

Goalscorers

  • 22′ReguilónSevilla
  • 44′Y. En-NesyriSevilla

Official lineup for Sevilla vs AS Roma

The starting elevens fielded at kick-off.

Sevilla

4-3-3
  1. 5L. Ocampos
  2. 51Y. En-Nesyri
  3. 41Suso
  1. 10É. Banega
  2. 25Fernando
  3. 24Joan Jordán
  1. 23Reguilón
  2. 20Diego Carlos
  3. 12J. Koundé
  4. 16Jesús Navas
  1. 13Y. Bounou

AS Roma

3-4-2-1
  1. 9E. Džeko
  1. 77H. Mkhitaryan
  2. 22N. Zaniolo
  1. 37L. Spinazzola
  2. 4B. Cristante
  3. 42A. Diawara
  4. 33Bruno Peres
  1. 11A. Kolarov
  2. 41Ibañez
  3. 23G. Mancini
  1. 13Pau López
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sevilla have 8 wins, 7 draws and 0 defeats; AS Roma have 10, 2 and 3.

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

Sevilla
DateOpponentScoreCompetition
Jul 19, 2020Valencia(home)1-0La Liga
Jul 16, 2020Real Sociedad(away)0-0La Liga
Jul 12, 2020Mallorca(home)2-0La Liga
Jul 9, 2020Athletic Club(away)2-1La Liga
Jul 6, 2020Eibar(home)1-0La Liga
AS Roma
DateOpponentScoreCompetition
Aug 1, 2020Juventus(away)3-1Serie A
Jul 29, 2020Torino(away)3-2Serie A
Jul 26, 2020Fiorentina(home)2-1Serie A
Jul 22, 2020Spal(away)6-1Serie A
Jul 19, 2020Inter(home)2-2Serie A

How many goals should we expect?

Sevilla score 1.5 and concede 0.6 goals per match over their last 15; AS Roma score 2.3 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sevilla1.50.696/156/15
AS Roma2.31.3211/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
8AS Roma851213616

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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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