Match

Ajax vs AS Roma: result 1-2 and analysis

UEFA Europa LeagueQuarter-finalsKick-off on April 8, 2021 at 07:00 PM (UTC)Johan Cruijff Arena, Amsterdam

Ajax
1-2
AS Roma

Full time

What was the result of Ajax vs AS Roma?

AS Roma won 1-2 on April 8, 2021.

Goalscorers

  • 39′D. KlaassenAjax
  • 57′L. PellegriniAS Roma
  • 87′IbañezAS Roma

Official lineup for Ajax vs AS Roma

The starting elevens fielded at kick-off.

Ajax

4-3-3
  1. 39Antony
  2. 7David Neres
  3. 10D. Tadić
  1. 8R. Gravenberch
  2. 6D. Klaassen
  3. 15D. Rensch
  1. 2J. Timber
  2. 21Lisandro Martínez
  3. 4E. Álvarez
  4. 31N. Tagliafico
  1. 16K. Scherpen

AS Roma

3-4-2-1
  1. 11Pedro
  1. 9E. Džeko
  2. 42A. Diawara
  1. 7L. Pellegrini
  2. 4B. Cristante
  3. 17J. Veretout
  4. 3Ibañez
  1. 23G. Mancini
  2. 37L. Spinazzola
  3. 33Bruno Peres
  1. 13Pau López
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Ajax have 14 wins, 1 draw and 0 defeats; AS Roma have 9, 2 and 4.

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

Ajax
DateOpponentScoreCompetition
Apr 4, 2021Heerenveen(away)2-1Eredivisie
Mar 21, 2021ADO Den Haag(home)5-0Eredivisie
Mar 18, 2021BSC Young Boys(away)2-0UEFA Europa League
Mar 14, 2021PEC Zwolle(away)2-0Eredivisie
Mar 11, 2021BSC Young Boys(home)3-0UEFA Europa League
AS Roma
DateOpponentScoreCompetition
Apr 3, 2021Sassuolo(away)2-2Serie A
Mar 21, 2021Napoli(home)0-2Serie A
Mar 18, 2021Shakhtar Donetsk(away)2-1UEFA Europa League
Mar 14, 2021Parma(away)0-2Serie A
Mar 11, 2021Shakhtar Donetsk(home)3-0UEFA Europa League

How many goals should we expect?

Ajax score 2.6 and concede 0.6 goals per match over their last 15; AS Roma score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ajax2.60.678/1511/15
AS Roma1.71.157/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
8AS Roma851213616

A question about Ajax vs AS Roma?

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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