AS Roma vs Cagliari: result 1-2 and analysis
Serie ARegular Season - 2Kick-off on September 11, 2011 at 01:00 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs Cagliari?
Cagliari won 1-2 on September 11, 2011.
Goalscorers
- 68′Daniele ContiCagliari
- 90′Moestafa El KabirCagliari
- 90′D. De RossiAS 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; Cagliari have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2011 | Sampdoria(home) | 3-1 | Serie A |
| May 15, 2011 | Catania(away) | 1-2 | Serie A |
| May 7, 2011 | AC Milan(home) | 0-0 | Serie A |
| May 1, 2011 | Bari(away) | 3-2 | Serie A |
| Apr 23, 2011 | Chievo(home) | 1-0 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2011 | Parma(home) | 1-1 | Serie A |
| May 14, 2011 | AC Milan(away) | 1-4 | Serie A |
| May 8, 2011 | Cesena(home) | 0-2 | Serie A |
| May 1, 2011 | Catania(away) | 0-2 | Serie A |
| Apr 23, 2011 | Fiorentina(home) | 1-2 | Serie A |
What does the head-to-head say?
Across the last 2 meetings: 1 AS Roma win(s), 0 draw(s), 1 Cagliari win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 22, 2011 | AS Roma 3-0 Cagliari | Serie A |
| Sep 11, 2010 | Cagliari 5-1 AS Roma | Serie A |
How many goals should we expect?
AS Roma score 1.6 and concede 1.5 goals per match over their last 15; Cagliari score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.6 | 1.5 | 4 | 9/15 | 9/15 |
| Cagliari | 1.1 | 1.9 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Cagliari | 1 | 1 | 0 | 0 | 1 | 0 | 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