Carpi vs AS Roma: result 1-3 and analysis
Serie ARegular Season - 25Kick-off on February 12, 2016 at 07:45 PM (UTC)Stadio Sandro Cabassi, Carpi
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What was the result of Carpi vs AS Roma?
AS Roma won 1-3 on February 12, 2016.
Goalscorers
- 56′L. DigneAS Roma
- 61′K. LasagnaCarpi
- 84′E. DžekoAS Roma
- 85′Mohamed SalahAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Carpi have 3 wins, 5 draws and 7 defeats; AS Roma have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 7, 2016 | Napoli(away) | 0-1 | Serie A |
| Feb 3, 2016 | Fiorentina(away) | 1-2 | Serie A |
| Jan 30, 2016 | Palermo(home) | 1-1 | Serie A |
| Jan 24, 2016 | Inter(away) | 1-1 | Serie A |
| Jan 17, 2016 | Sampdoria(home) | 2-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 7, 2016 | Sampdoria(home) | 2-1 | Serie A |
| Feb 2, 2016 | Sassuolo(away) | 2-0 | Serie A |
| Jan 30, 2016 | Frosinone(home) | 3-1 | Serie A |
| Jan 24, 2016 | Juventus(away) | 0-1 | Serie A |
| Jan 17, 2016 | Hellas Verona(home) | 1-1 | Serie A |
What does the head-to-head say?
Across the last 1 meetings: 0 Carpi win(s), 0 draw(s), 1 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2015 | AS Roma 5-1 Carpi | Serie A |
How many goals should we expect?
Carpi score 0.9 and concede 1.3 goals per match over their last 15; AS Roma score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Carpi | 0.9 | 1.3 | 3 | 9/15 | 8/15 |
| AS Roma | 1.3 | 1.3 | 5 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | AS Roma | 38 | 23 | 4 | 11 | 59 | 31 | 73 |
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