Match

AS Roma vs Hellas Verona: result 3-0 and analysis

Serie ARegular Season - 2Kick-off on September 1, 2013 at 04:00 PM (UTC)Stadio Olimpico, Roma

AS Roma
3-0
Hellas Verona

Full time

What was the result of AS Roma vs Hellas Verona?

AS Roma won 3-0 on September 1, 2013.

Goalscorers

  • 56′F. CacciatoreAS Roma (o.g.)
  • 59′M. PjanićAS Roma
  • 66′A. LjajićAS Roma

Official lineup for AS Roma vs Hellas Verona

The starting elevens fielded at kick-off.

AS Roma

  1. 27Y. Gervinho
  1. 6K. Strootman
  2. 10Francesco Totti
  3. 15M. Pjanić
  4. 16D. De Rossi
  5. 24A. Florenzi
  1. 5Leandro Castán da Silva
  2. 13Maicon Douglas Sisenando
  3. 17M. Benatia
  4. 42F. Balzaretti
  1. 26Morgan De Sanctis

Hellas Verona

  1. 9Luca Toni
  1. 2Rômulo Souza Orestes Caldeira
  2. 5Massimo Donati
  3. 6Raphael Martinho Alves de Lima
  4. 10E. Hallfreðsson
  5. 11Bosko Jankovic
  6. 19Jorginho
  1. 18Vangelis Moras
  2. 22D. Maietta
  3. 29F. Cacciatore
  1. 1Rafael
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What is the recent form of both teams?

Over their last 15 matches in all competitions, AS Roma have 9 wins, 4 draws and 2 defeats; Hellas Verona have 1, 0 and 0.

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

AS Roma
DateOpponentScoreCompetition
Aug 25, 2013Livorno(away)2-0Serie A
May 19, 2013Napoli(home)2-1Serie A
May 12, 2013AC Milan(away)0-0Serie A
May 7, 2013Chievo(home)0-1Serie A
May 4, 2013Fiorentina(away)1-0Serie A
Hellas Verona
DateOpponentScoreCompetition
Aug 24, 2013AC Milan(home)2-1Serie A

How many goals should we expect?

AS Roma score 1.5 and concede 0.7 goals per match over their last 15; Hellas Verona score 2.0 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AS Roma1.50.767/155/15
Hellas Verona2.01.001/11/1

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
3AS Roma642014314

A question about AS Roma vs Hellas Verona?

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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