AS Roma vs Sampdoria: result 3-1 and analysis
Serie ARegular Season - 38Kick-off on May 22, 2011 at 06:45 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs Sampdoria?
AS Roma won 3-1 on May 22, 2011.
Goalscorers
- 27′D. ManniniSampdoria
- 30′Francesco TottiAS Roma
- 70′Mirko VucinicAS Roma
- 86′Marco BorrielloAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 6 wins, 3 draws and 6 defeats; Sampdoria have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 16, 2011 | Palermo(home) | 2-3 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2011 | Palermo(home) | 1-2 | Serie A |
| May 8, 2011 | Genoa(away) | 1-2 | Serie A |
| May 1, 2011 | Brescia(home) | 3-3 | Serie A |
| Apr 23, 2011 | Bari(away) | 1-0 | Serie A |
| Apr 16, 2011 | AC Milan(away) | 0-3 | Serie A |
What does the head-to-head say?
Across the last 1 meetings: 0 AS Roma win(s), 0 draw(s), 1 Sampdoria win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 9, 2011 | Sampdoria 2-1 AS Roma | Serie A |
How many goals should we expect?
AS Roma score 1.6 and concede 1.7 goals per match over their last 15; Sampdoria score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.6 | 1.7 | 4 | 9/15 | 9/15 |
| Sampdoria | 0.8 | 1.5 | 3 | 6/15 | 7/15 |
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