CSKA Moscow vs AS Roma: result 1-2 and analysis
UEFA Champions LeagueGroup Stage - 4Kick-off on November 7, 2018 at 05:55 PM (UTC)VEB Arena, Moskva
Full time
What was the result of CSKA Moscow vs AS Roma?
AS Roma won 1-2 on November 7, 2018.
Goalscorers
- 4′K. ManolasAS Roma
- 51′A. SigurðssonCSKA Moscow
- 59′L. PellegriniAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, CSKA Moscow have 6 wins, 5 draws and 4 defeats; AS Roma have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Dynamo(away) | 0-0 | Premier League |
| Oct 28, 2018 | FC Krasnodar(home) | 1-2 | Premier League |
| Oct 23, 2018 | AS Roma(away) | 0-3 | UEFA Champions League |
| Oct 19, 2018 | Anzhi(away) | 2-0 | Premier League |
| Oct 7, 2018 | Lokomotiv(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Fiorentina(away) | 1-1 | Serie A |
| Oct 28, 2018 | Napoli(away) | 1-1 | Serie A |
| Oct 23, 2018 | CSKA Moscow(home) | 3-0 | UEFA Champions League |
| Oct 20, 2018 | Spal(home) | 0-2 | Serie A |
| Oct 6, 2018 | Empoli(away) | 2-0 | Serie A |
What does the head-to-head say?
Across the last 3 meetings: 0 CSKA Moscow win(s), 1 draw(s), 2 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2018 | AS Roma 3-0 CSKA Moscow | UEFA Champions League |
| Nov 25, 2014 | CSKA Moscow 1-1 AS Roma | UEFA Champions League |
| Sep 17, 2014 | AS Roma 5-1 CSKA Moscow | UEFA Champions League |
Last archived meeting: AS Roma vs CSKA Moscow on Oct 23, 2018
How many goals should we expect?
CSKA Moscow score 1.3 and concede 0.8 goals per match over their last 15; AS Roma score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CSKA Moscow | 1.3 | 0.8 | 7 | 5/15 | 6/15 |
| AS Roma | 1.8 | 1.3 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
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