AS Roma vs CSKA Moscow: result 3-0 and analysis
UEFA Champions LeagueGroup Stage - 3Kick-off on October 23, 2018 at 07:00 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs CSKA Moscow?
AS Roma won 3-0 on October 23, 2018.
Goalscorers
- 30′E. DzekoAS Roma
- 43′E. DzekoAS Roma
- 50′C. ÜnderAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 7 wins, 2 draws and 6 defeats; CSKA Moscow have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Spal(home) | 0-2 | Serie A |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2018 | Anzhi(away) | 2-0 | Premier League |
| Oct 7, 2018 | Lokomotiv(home) | 0-1 | Premier League |
| Oct 2, 2018 | Real Madrid(home) | 1-0 | UEFA Champions League |
| Sep 28, 2018 | FC Orenburg(away) | 1-0 | Premier League |
| Sep 23, 2018 | Spartak Moscow(home) | 1-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 AS Roma win(s), 1 draw(s), 0 CSKA Moscow win(s).
| Date | Score | Competition |
|---|---|---|
| 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: CSKA Moscow vs AS Roma on Nov 25, 2014
How many goals should we expect?
AS Roma score 1.9 and concede 1.5 goals per match over their last 15; CSKA Moscow score 1.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.9 | 1.5 | 5 | 7/15 | 10/15 |
| CSKA Moscow | 1.8 | 0.5 | 8 | 5/15 | 6/15 |
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