Match

Pescara vs AS Roma: result 0-1 and analysis

Serie ARegular Season - 14Kick-off on November 25, 2012 at 02:00 PM (UTC)Stadio Adriatico-Giovanni Cornacchia, Pescara

Pescara
0-1
AS Roma

Full time

What was the result of Pescara vs AS Roma?

AS Roma won 0-1 on November 25, 2012.

Goalscorers

  • 5′M. DestroAS Roma

Official lineup for Pescara vs AS Roma

The starting elevens fielded at kick-off.

Pescara

  1. 9Elvis Abbruscato
  1. 8B. Bjarnason
  2. 20M. Lund Nielsen
  3. 21Rômulo Eugênio Togni
  4. 93J. Quintero
  1. 6S. Romagnoli
  2. 11Francesco Modesto
  3. 14Antonio Balzano
  4. 15Antonio Bocchetti
  5. 88Christian Terlizzi
  1. 77M. Perin

AS Roma

  1. 9D. Osvaldo
  2. 22M. Destro
  1. 4M. Bradley
  2. 10Francesco Totti
  3. 15M. Pjanić
  4. 48A. Florenzi
  1. 3Marquinhos
  2. 5Leandro Castán da Silva
  3. 23I. Piris
  4. 42F. Balzaretti
  1. 13M. Goicoechea
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Pescara have 3 wins, 2 draws and 8 defeats; AS Roma have 7, 3 and 5.

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

Pescara
DateOpponentScoreCompetition
Nov 18, 2012Robur Siena(away)0-1Serie A
Nov 10, 2012Juventus(home)1-6Serie A
Nov 4, 2012Parma(home)2-0Serie A
Oct 31, 2012Chievo(away)0-2Serie A
Oct 28, 2012Atalanta(home)0-0Serie A
AS Roma
DateOpponentScoreCompetition
Nov 19, 2012Torino(home)2-0Serie A
Nov 11, 2012Lazio(away)2-3Serie A
Nov 4, 2012Palermo(home)4-1Serie A
Oct 31, 2012Parma(away)2-3Serie A
Oct 28, 2012Udinese(home)2-3Serie A

How many goals should we expect?

Pescara score 0.7 and concede 1.8 goals per match over their last 13; AS Roma score 2.3 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pescara0.71.834/136/13
AS Roma2.31.8312/1512/15

Over the last 13 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
3AS Roma642014314

A question about Pescara 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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