AC Milan vs AS Roma: result 0-0 and analysis
Serie ARegular Season - 37Kick-off on May 12, 2013 at 06:45 PM (UTC)Stadio Giuseppe Meazza, Milano
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What was the result of AC Milan vs AS Roma?
AC Milan and AS Roma drew 0-0 on May 12, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AC Milan have 9 wins, 4 draws and 2 defeats; AS Roma have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2013 | Pescara(away) | 4-0 | Serie A |
| May 5, 2013 | Torino(home) | 1-0 | Serie A |
| Apr 28, 2013 | Catania(home) | 4-2 | Serie A |
| Apr 21, 2013 | Juventus(away) | 0-1 | Serie A |
| Apr 14, 2013 | Napoli(home) | 1-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2013 | Chievo(home) | 0-1 | Serie A |
| May 4, 2013 | Fiorentina(away) | 1-0 | Serie A |
| Apr 28, 2013 | Robur Siena(home) | 4-0 | Serie A |
| Apr 21, 2013 | Pescara(home) | 1-1 | Serie A |
| Apr 14, 2013 | Torino(away) | 2-1 | Serie A |
What does the head-to-head say?
Across the last 5 meetings: 2 AC Milan win(s), 1 draw(s), 2 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 22, 2012 | AS Roma 4-2 AC Milan | Serie A |
| Mar 24, 2012 | AC Milan 2-1 AS Roma | Serie A |
| 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 1.7 and concede 0.9 goals per match over their last 15; AS Roma score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AC Milan | 1.7 | 0.9 | 7 | 6/15 | 6/15 |
| AS Roma | 1.7 | 1.3 | 4 | 9/15 | 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