Spal vs AS Roma: result 2-1 and analysis
Serie ARegular Season - 28Kick-off on March 16, 2019 at 05:00 PM (UTC)Stadio Paolo Mazza, Ferrara
Full time
What was the result of Spal vs AS Roma?
Spal won 2-1 on March 16, 2019.
Goalscorers
- 22′M. FaresSpal
- 53′Diego PerottiAS Roma (pen.)
- 59′A. PetagnaSpal (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spal have 1 wins, 7 draws and 7 defeats; AS Roma have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2019 | Inter(away) | 0-2 | Serie A |
| Mar 3, 2019 | Sampdoria(home) | 1-2 | Serie A |
| Feb 24, 2019 | Sassuolo(away) | 1-1 | Serie A |
| Feb 17, 2019 | Fiorentina(home) | 1-4 | Serie A |
| Feb 10, 2019 | Atalanta(away) | 1-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2019 | Empoli(home) | 2-1 | Serie A |
| Mar 6, 2019 | FC Porto(away) | 1-3 | UEFA Champions League |
| Mar 2, 2019 | Lazio(away) | 0-3 | Serie A |
| Feb 23, 2019 | Frosinone(away) | 3-2 | Serie A |
| Feb 18, 2019 | Bologna(home) | 2-1 | Serie A |
What does the head-to-head say?
Across the last 3 meetings: 1 Spal win(s), 0 draw(s), 2 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2018 | AS Roma 0-2 Spal | Serie A |
| Apr 21, 2018 | Spal 0-3 AS Roma | Serie A |
| Dec 1, 2017 | AS Roma 3-1 Spal | Serie A |
How many goals should we expect?
Spal score 0.9 and concede 1.5 goals per match over their last 15; AS Roma score 2.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spal | 0.9 | 1.5 | 3 | 10/15 | 7/15 |
| AS Roma | 2.0 | 1.7 | 3 | 10/15 | 12/15 |
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