AS Roma vs Pescara: result 3-2 and analysis
Serie ARegular Season - 14Kick-off on November 27, 2016 at 07:45 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs Pescara?
AS Roma won 3-2 on November 27, 2016.
Goalscorers
- 7′E. DžekoAS Roma
- 10′E. DžekoAS Roma
- 60′Ledian MemushajPescara
- 71′Diego PerottiAS Roma (pen.)
- 74′G. CaprariPescara
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 9 wins, 3 draws and 3 defeats; Pescara have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2016 | Plzen(home) | 4-1 | UEFA Europa League |
| Nov 20, 2016 | Atalanta(away) | 1-2 | Serie A |
| Nov 6, 2016 | Bologna(home) | 3-0 | Serie A |
| Nov 3, 2016 | Austria Vienna(away) | 4-2 | UEFA Europa League |
| Oct 30, 2016 | Empoli(away) | 0-0 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Juventus(away) | 0-3 | Serie A |
| Nov 6, 2016 | Empoli(home) | 0-4 | Serie A |
| Oct 30, 2016 | AC Milan(away) | 0-1 | Serie A |
| Oct 26, 2016 | Atalanta(home) | 0-1 | Serie A |
| Oct 23, 2016 | Udinese(away) | 1-3 | Serie A |
What does the head-to-head say?
Across the last 2 meetings: 1 AS Roma win(s), 1 draw(s), 0 Pescara win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2013 | AS Roma 1-1 Pescara | Serie A |
| Nov 25, 2012 | Pescara 0-1 AS Roma | Serie A |
How many goals should we expect?
AS Roma score 2.5 and concede 1.1 goals per match over their last 15; Pescara score 0.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 2.5 | 1.1 | 4 | 10/15 | 12/15 |
| Pescara | 0.8 | 1.9 | 3 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | AS Roma | 38 | 23 | 4 | 11 | 59 | 31 | 73 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy