AS Roma vs AC Milan: result 2-3 and analysis
Serie ARegular Season - 10Kick-off on October 29, 2011 at 04:00 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs AC Milan?
AC Milan won 2-3 on October 29, 2011.
Goalscorers
- 17′Z. IbrahimovićAC Milan
- 28′N. BurdissoAS Roma
- 30′Alessandro NestaAC Milan
- 78′Z. IbrahimovićAC Milan
- 88′Bojan KrkićAS 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; AC Milan have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2011 | Genoa(away) | 1-2 | Serie A |
| Oct 23, 2011 | Palermo(home) | 1-0 | Serie A |
| Oct 16, 2011 | Lazio(away) | 1-2 | Serie A |
| Oct 1, 2011 | Atalanta(home) | 3-1 | Serie A |
| Sep 25, 2011 | Parma(away) | 1-0 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2011 | Parma(home) | 4-1 | Serie A |
| Oct 23, 2011 | Lecce(away) | 4-3 | Serie A |
| Oct 19, 2011 | Bate Borisov(home) | 2-0 | UEFA Champions League |
| Oct 15, 2011 | Palermo(home) | 3-0 | Serie A |
| Oct 2, 2011 | Juventus(away) | 0-2 | Serie A |
What does the head-to-head say?
Across the last 2 meetings: 1 AS Roma win(s), 1 draw(s), 0 AC Milan win(s).
| Date | Score | Competition |
|---|---|---|
| May 7, 2011 | AS Roma 0-0 AC Milan | Serie A |
| Dec 18, 2010 | AC Milan 0-1 AS Roma | Serie A |
How many goals should we expect?
AS Roma score 1.4 and concede 1.1 goals per match over their last 15; AC Milan score 1.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.4 | 1.1 | 5 | 10/15 | 9/15 |
| AC Milan | 1.8 | 1.0 | 7 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | AC Milan | 1 | 1 | 0 | 0 | 2 | 1 | 3 |
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