Palermo vs AS Roma: result 0-1 and analysis
Serie ARegular Season - 27Kick-off on March 10, 2012 at 07:45 PM (UTC)Stadio Renzo Barbera, Palermo
Full time
What was the result of Palermo vs AS Roma?
AS Roma won 0-1 on March 10, 2012.
Goalscorers
- 3′F. BoriniAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Palermo have 5 wins, 3 draws and 7 defeats; AS Roma have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2012 | AC Milan(home) | 0-4 | Serie A |
| Feb 26, 2012 | Robur Siena(away) | 1-4 | Serie A |
| Feb 19, 2012 | Lazio(home) | 5-1 | Serie A |
| Feb 11, 2012 | Cagliari(away) | 1-2 | Serie A |
| Feb 5, 2012 | Atalanta(home) | 2-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2012 | Lazio(home) | 1-2 | Serie A |
| Feb 26, 2012 | Atalanta(away) | 1-4 | Serie A |
| Feb 19, 2012 | Parma(home) | 1-0 | Serie A |
| Feb 13, 2012 | Robur Siena(away) | 0-1 | Serie A |
| Feb 8, 2012 | Catania(away) | 1-1 | Serie A |
What does the head-to-head say?
Across the last 3 meetings: 2 Palermo win(s), 0 draw(s), 1 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2011 | AS Roma 1-0 Palermo | Serie A |
| Apr 16, 2011 | AS Roma 2-3 Palermo | Serie A |
| Nov 28, 2010 | Palermo 3-1 AS Roma | Serie A |
How many goals should we expect?
Palermo score 1.7 and concede 1.9 goals per match over their last 15; AS Roma score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Palermo | 1.7 | 1.9 | 3 | 8/15 | 9/15 |
| AS Roma | 1.6 | 1.4 | 4 | 8/15 | 7/15 |
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