AS Roma vs Palermo: result 2-3 and analysis
Serie ARegular Season - 33Kick-off on April 16, 2011 at 04:00 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs Palermo?
Palermo won 2-3 on April 16, 2011.
Goalscorers
- 20′Francesco TottiAS Roma (pen.)
- 43′M. PinillaPalermo (pen.)
- 84′A. HernándezPalermo
- 90′A. HernándezPalermo
- 90′Mirko VucinicAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 7 wins, 3 draws and 5 defeats; Palermo have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2011 | Udinese(away) | 2-1 | Serie A |
| Apr 3, 2011 | Juventus(home) | 0-2 | Serie A |
| Mar 20, 2011 | Fiorentina(away) | 2-2 | Serie A |
| Mar 13, 2011 | Lazio(home) | 2-0 | Serie A |
| Mar 4, 2011 | Lecce(away) | 2-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2011 | Cesena(home) | 2-2 | Serie A |
| Apr 3, 2011 | Catania(away) | 0-4 | Serie A |
| Mar 19, 2011 | AC Milan(home) | 1-0 | Serie A |
| Mar 13, 2011 | Genoa(away) | 0-1 | Serie A |
| Mar 6, 2011 | Lazio(away) | 0-2 | Serie A |
What does the head-to-head say?
Across the last 1 meetings: 0 AS Roma win(s), 0 draw(s), 1 Palermo win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 28, 2010 | Palermo 3-1 AS Roma | Serie A |
How many goals should we expect?
AS Roma score 1.8 and concede 1.6 goals per match over their last 15; Palermo score 1.2 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.8 | 1.6 | 4 | 9/15 | 9/15 |
| Palermo | 1.2 | 2.0 | 4 | 6/15 | 9/15 |
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