AC Milan vs AS Roma: result 2-1 and analysis
Serie ARegular Season - 29Kick-off on March 24, 2012 at 05:00 PM (UTC)Stadio Giuseppe Meazza, Milano
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What was the result of AC Milan vs AS Roma?
AC Milan won 2-1 on March 24, 2012.
Goalscorers
- 44′D. OsvaldoAS Roma
- 53′Z. IbrahimovićAC Milan (pen.)
- 83′Z. IbrahimovićAC Milan
What is the recent form of both teams?
Over their last 15 matches in all competitions, AC Milan have 10 wins, 2 draws and 3 defeats; AS Roma have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2012 | Parma(away) | 2-0 | Serie A |
| Mar 11, 2012 | Lecce(home) | 2-0 | Serie A |
| Mar 6, 2012 | Arsenal(away) | 0-3 | UEFA Champions League |
| Mar 3, 2012 | Palermo(away) | 4-0 | Serie A |
| Feb 25, 2012 | Juventus(home) | 1-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2012 | Genoa(home) | 1-0 | Serie A |
| Mar 10, 2012 | Palermo(away) | 1-0 | Serie A |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 1 AC Milan win(s), 1 draw(s), 1 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 29, 2011 | AS Roma 2-3 AC Milan | Serie A |
| 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?
AC Milan score 1.9 and concede 0.6 goals per match over their last 15; AS Roma score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AC Milan | 1.9 | 0.6 | 9 | 3/15 | 7/15 |
| AS Roma | 1.7 | 1.1 | 6 | 8/15 | 6/15 |
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