AS Roma vs Crotone: result 1-0 and analysis
Serie ARegular Season - 10Kick-off on October 25, 2017 at 06:45 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs Crotone?
AS Roma won 1-0 on October 25, 2017.
Goalscorers
- 10′Diego PerottiAS Roma (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 9 wins, 4 draws and 2 defeats; Crotone have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Torino(away) | 1-0 | Serie A |
| Oct 18, 2017 | Chelsea(away) | 3-3 | UEFA Champions League |
| Oct 14, 2017 | Napoli(home) | 0-1 | Serie A |
| Oct 1, 2017 | AC Milan(away) | 2-0 | Serie A |
| Sep 27, 2017 | Qarabag(away) | 2-1 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Sampdoria(away) | 0-5 | Serie A |
| Oct 15, 2017 | Torino(home) | 2-2 | Serie A |
| Oct 1, 2017 | Spal(away) | 1-1 | Serie A |
| Sep 24, 2017 | Benevento(home) | 2-0 | Serie A |
| Sep 20, 2017 | Atalanta(away) | 1-5 | Serie A |
What does the head-to-head say?
Across the last 2 meetings: 2 AS Roma win(s), 0 draw(s), 0 Crotone win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 12, 2017 | Crotone 0-2 AS Roma | Serie A |
| Sep 21, 2016 | AS Roma 4-0 Crotone | Serie A |
How many goals should we expect?
AS Roma score 1.9 and concede 1.0 goals per match over their last 15; Crotone score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.9 | 1.0 | 6 | 8/15 | 8/15 |
| Crotone | 0.9 | 1.7 | 4 | 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