Real Madrid vs AS Roma: result 2-0 and analysis
UEFA Champions League8th FinalsKick-off on March 8, 2016 at 07:45 PM (UTC)Estadio Santiago Bernabéu, Madrid
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What was the result of Real Madrid vs AS Roma?
Real Madrid won 2-0 on March 8, 2016.
Goalscorers
- 64′Cristiano RonaldoReal Madrid
- 68′J. RodríguezReal Madrid
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Madrid have 10 wins, 3 draws and 2 defeats; AS Roma 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 |
|---|---|---|---|
| Mar 5, 2016 | Celta Vigo(home) | 7-1 | La Liga |
| Mar 2, 2016 | Levante(away) | 3-1 | La Liga |
| Feb 27, 2016 | Atletico Madrid(home) | 0-1 | La Liga |
| Feb 21, 2016 | Malaga(away) | 1-1 | La Liga |
| Feb 17, 2016 | AS Roma(away) | 2-0 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2016 | Fiorentina(home) | 4-1 | Serie A |
| Feb 27, 2016 | Empoli(away) | 3-1 | Serie A |
| Feb 21, 2016 | Palermo(home) | 5-0 | Serie A |
| Feb 17, 2016 | Real Madrid(home) | 0-2 | UEFA Champions League |
| Feb 12, 2016 | Carpi(away) | 3-1 | Serie A |
What does the head-to-head say?
Across the last 1 meetings: 1 Real Madrid win(s), 0 draw(s), 0 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 17, 2016 | AS Roma 0-2 Real Madrid | UEFA Champions League |
Last archived meeting: AS Roma vs Real Madrid on Feb 17, 2016
How many goals should we expect?
Real Madrid score 3.4 and concede 1.0 goals per match over their last 15; AS Roma score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Madrid | 3.4 | 1.0 | 3 | 10/15 | 10/15 |
| AS Roma | 1.9 | 0.9 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Real Madrid | 8 | 5 | 0 | 3 | 21 | 12 | 15 |
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