Juventus vs AS Roma: result 4-0 and analysis
Serie ARegular Season - 34Kick-off on April 22, 2012 at 06:45 PM (UTC)Allianz Stadium, Torino
Full time
What was the result of Juventus vs AS Roma?
Juventus won 4-0 on April 22, 2012.
Goalscorers
- 4′A. VidalJuventus
- 8′A. VidalJuventus
- 29′Andrea PirloJuventus
- 53′C. MarchisioJuventus
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus have 8 wins, 7 draws and 0 defeats; AS Roma have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2012 | Lazio(home) | 2-1 | Serie A |
| Apr 7, 2012 | Palermo(away) | 2-0 | Serie A |
| Apr 1, 2012 | Napoli(home) | 3-0 | Serie A |
| Mar 25, 2012 | Inter(home) | 2-0 | Serie A |
| Mar 17, 2012 | Fiorentina(away) | 5-0 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2012 | Udinese(home) | 3-1 | Serie A |
| Apr 7, 2012 | Lecce(away) | 2-4 | Serie A |
| Apr 1, 2012 | Novara(home) | 5-2 | Serie A |
| Mar 24, 2012 | AC Milan(away) | 1-2 | Serie A |
| Mar 19, 2012 | Genoa(home) | 1-0 | Serie A |
What does the head-to-head say?
Across the last 3 meetings: 1 Juventus win(s), 2 draw(s), 0 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 12, 2011 | AS Roma 1-1 Juventus | Serie A |
| Apr 3, 2011 | AS Roma 0-2 Juventus | Serie A |
| Nov 13, 2010 | Juventus 1-1 AS Roma | Serie A |
How many goals should we expect?
Juventus score 1.7 and concede 0.5 goals per match over their last 15; AS Roma score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 1.7 | 0.5 | 8 | 7/15 | 5/15 |
| AS Roma | 1.9 | 1.5 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Juventus | 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