AS Roma vs Chelsea: result 3-0 and analysis
UEFA Champions LeagueGroup Stage - 4Kick-off on October 31, 2017 at 07:45 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs Chelsea?
AS Roma won 3-0 on October 31, 2017.
Goalscorers
- 1′S. El ShaarawyAS Roma
- 36′S. El ShaarawyAS Roma
- 63′Diego PerottiAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 10 wins, 3 draws and 2 defeats; Chelsea have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Bologna(home) | 1-0 | Serie A |
| Oct 25, 2017 | Crotone(home) | 1-0 | Serie A |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Bournemouth(away) | 1-0 | Premier League |
| Oct 25, 2017 | Everton(home) | 2-1 | League Cup |
| Oct 21, 2017 | Watford(home) | 4-2 | Premier League |
| Oct 18, 2017 | AS Roma(home) | 3-3 | UEFA Champions League |
| Oct 14, 2017 | Crystal Palace(away) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 AS Roma win(s), 1 draw(s), 0 Chelsea win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2017 | Chelsea 3-3 AS Roma | UEFA Champions League |
How many goals should we expect?
AS Roma score 1.7 and concede 0.8 goals per match over their last 15; Chelsea score 2.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.7 | 0.8 | 8 | 6/15 | 7/15 |
| Chelsea | 2.4 | 1.1 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Chelsea | 8 | 5 | 1 | 2 | 17 | 10 | 16 |
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