AS Roma vs Spal: result 0-2 and analysis
Serie ARegular Season - 9Kick-off on October 20, 2018 at 01:00 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs Spal?
Spal won 0-2 on October 20, 2018.
Goalscorers
- 38′A. PetagnaSpal (pen.)
- 56′K. BonifaziSpal
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 7 wins, 3 draws and 5 defeats; Spal have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Empoli(away) | 2-0 | Serie A |
| Oct 2, 2018 | Plzen(home) | 5-0 | UEFA Champions League |
| Sep 29, 2018 | Lazio(home) | 3-1 | Serie A |
| Sep 26, 2018 | Frosinone(home) | 4-0 | Serie A |
| Sep 23, 2018 | Bologna(away) | 0-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2018 | Inter(home) | 1-2 | Serie A |
| Oct 1, 2018 | Sampdoria(away) | 1-2 | Serie A |
| Sep 27, 2018 | Sassuolo(home) | 0-2 | Serie A |
| Sep 22, 2018 | Fiorentina(away) | 0-3 | Serie A |
| Sep 17, 2018 | Atalanta(home) | 2-0 | Serie A |
What does the head-to-head say?
Across the last 2 meetings: 2 AS Roma win(s), 0 draw(s), 0 Spal win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
AS Roma score 1.9 and concede 1.4 goals per match over their last 15; Spal score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.9 | 1.4 | 6 | 7/15 | 10/15 |
| Spal | 1.1 | 1.1 | 6 | 5/15 | 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