Match

Vitesse vs AS Roma: result 0-1 and analysis

UEFA Europa Conference LeagueRound of 16Kick-off on March 10, 2022 at 05:45 PM (UTC)GelreDome, Arnhem

Vitesse
0-1
AS Roma

Full time

What was the result of Vitesse vs AS Roma?

AS Roma won 0-1 on March 10, 2022.

Goalscorers

  • 45′Sérgio OliveiraAS Roma

Official lineup for Vitesse vs AS Roma

The starting elevens fielded at kick-off.

Vitesse

3-1-4-2
  1. 7L. Openda
  2. 9A. Grbić
  1. 22T. Domgjoni
  2. 8S. Tronstad
  3. 21M. Bero
  4. 16D. Oroz
  1. 3D. Doekhi
  1. 6J. Rasmussen
  2. 32M. Wittek
  3. 2E. Dasa
  1. 24J. Houwen

AS Roma

3-4-1-2
  1. 9T. Abraham
  2. 22N. Zaniolo
  1. 15A. Maitland-Niles
  1. 17J. Veretout
  2. 27Sérgio Oliveira
  3. 77H. Mkhitaryan
  4. 3Ibañez
  1. 5M. Viña
  2. 24M. Kumbulla
  3. 23G. Mancini
  1. 1Rui Patrício
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Vitesse have 8 wins, 2 draws and 5 defeats; AS Roma have 8, 4 and 3.

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

Vitesse
DateOpponentScoreCompetition
Feb 27, 2022NEC Nijmegen(home)4-1Eredivisie
Feb 24, 2022Rapid Vienna(home)2-0UEFA Europa Conference League
Feb 20, 2022Utrecht(away)1-1Eredivisie
Feb 17, 2022Rapid Vienna(away)1-2UEFA Europa Conference League
Feb 12, 2022PSV Eindhoven(home)0-5Eredivisie
AS Roma
DateOpponentScoreCompetition
Mar 5, 2022Atalanta(home)1-0Serie A
Feb 27, 2022Spezia(away)1-0Serie A
Feb 19, 2022Hellas Verona(home)2-2Serie A
Feb 13, 2022Sassuolo(away)2-2Serie A
Feb 8, 2022Inter(away)0-2Coppa Italia

How many goals should we expect?

Vitesse score 1.5 and concede 1.7 goals per match over their last 15; AS Roma score 1.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vitesse1.51.748/1510/15
AS Roma1.91.359/158/15

Over the last 15 matches in all competitions.

A question about Vitesse 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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