Sampdoria vs AS Roma: result 0-2 and analysis
Serie ARegular Season - 5Kick-off on September 25, 2013 at 06:45 PM (UTC)Stadio Comunale Luigi Ferraris, Genova
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What was the result of Sampdoria vs AS Roma?
AS Roma won 0-2 on September 25, 2013.
Goalscorers
- 65′M. BenatiaAS Roma
- 88′Y. GervinhoAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sampdoria have 1 wins, 6 draws and 8 defeats; AS Roma have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2013 | Cagliari(away) | 2-2 | Serie A |
| Sep 15, 2013 | Genoa(home) | 0-3 | Serie A |
| Sep 1, 2013 | Bologna(away) | 2-2 | Serie A |
| Aug 24, 2013 | Juventus(home) | 0-1 | Serie A |
| May 18, 2013 | Juventus(home) | 3-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2013 | Lazio(home) | 2-0 | Serie A |
| Sep 16, 2013 | Parma(away) | 3-1 | Serie A |
| Sep 1, 2013 | Hellas Verona(home) | 3-0 | Serie A |
| Aug 25, 2013 | Livorno(away) | 2-0 | Serie A |
| May 19, 2013 | Napoli(home) | 2-1 | Serie A |
What does the head-to-head say?
Across the last 4 meetings: 2 Sampdoria win(s), 1 draw(s), 1 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 10, 2013 | Sampdoria 3-1 AS Roma | Serie A |
| Sep 26, 2012 | AS Roma 1-1 Sampdoria | Serie A |
| May 22, 2011 | AS Roma 3-1 Sampdoria | Serie A |
| Jan 9, 2011 | Sampdoria 2-1 AS Roma | Serie A |
How many goals should we expect?
Sampdoria score 0.9 and concede 1.9 goals per match over their last 15; AS Roma score 1.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sampdoria | 0.9 | 1.9 | 1 | 9/15 | 8/15 |
| AS Roma | 1.6 | 0.6 | 7 | 6/15 | 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