AS Roma vs Sassuolo: result 2-2 and analysis
Serie ARegular Season - 14Kick-off on December 6, 2014 at 05:00 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs Sassuolo?
AS Roma and Sassuolo drew 2-2 on December 6, 2014.
Goalscorers
- 15′S. ZazaSassuolo
- 18′S. ZazaSassuolo
- 78′A. LjajićAS Roma (pen.)
- 90′A. LjajićAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 8 wins, 3 draws and 4 defeats; Sassuolo have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2014 | Inter(home) | 4-2 | Serie A |
| Nov 25, 2014 | CSKA Moscow(away) | 1-1 | UEFA Champions League |
| Nov 22, 2014 | Atalanta(away) | 2-1 | Serie A |
| Nov 9, 2014 | Torino(home) | 3-0 | Serie A |
| Nov 5, 2014 | Bayern München(away) | 0-2 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2014 | Hellas Verona(home) | 2-1 | Serie A |
| Nov 23, 2014 | Torino(away) | 1-0 | Serie A |
| Nov 8, 2014 | Atalanta(home) | 0-0 | Serie A |
| Nov 2, 2014 | Chievo(away) | 0-0 | Serie A |
| Oct 28, 2014 | Empoli(home) | 3-1 | Serie A |
What does the head-to-head say?
Across the last 2 meetings: 1 AS Roma win(s), 1 draw(s), 0 Sassuolo win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 30, 2014 | Sassuolo 0-2 AS Roma | Serie A |
| Nov 10, 2013 | AS Roma 1-1 Sassuolo | Serie A |
How many goals should we expect?
AS Roma score 1.7 and concede 1.3 goals per match over their last 15; Sassuolo score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.7 | 1.3 | 6 | 7/15 | 7/15 |
| Sassuolo | 1.2 | 1.3 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Sassuolo | 1 | 0 | 0 | 1 | 1 | 2 | 0 |
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