Real Madrid vs AS Roma: result 2-1 and analysis
International Champions CupRegular Season - 3Kick-off on August 8, 2018 at 12:05 AM (UTC)Estadio Santiago Bernabéu, Madrid
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What was the result of Real Madrid vs AS Roma?
Real Madrid won 2-1 on August 8, 2018.
Goalscorers
- 2′Marco AsensioReal Madrid
- 15′G. BaleReal Madrid
- 83′K. StrootmanAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Madrid have 7 wins, 5 draws and 3 defeats; AS Roma have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Juventus(home) | 3-1 | International Champions Cup |
| Aug 1, 2018 | Manchester United(away) | 1-2 | International Champions Cup |
| May 26, 2018 | Liverpool(home) | 3-1 | UEFA Champions League |
| May 19, 2018 | Villarreal(away) | 2-2 | La Liga |
| May 12, 2018 | Celta Vigo(home) | 6-0 | La Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2018 | Barcelona(away) | 4-2 | International Champions Cup |
| Jul 26, 2018 | Tottenham(home) | 1-4 | International Champions Cup |
| May 20, 2018 | Sassuolo(away) | 1-0 | Serie A |
| May 13, 2018 | Juventus(home) | 0-0 | Serie A |
| May 6, 2018 | Cagliari(away) | 1-0 | Serie A |
What does the head-to-head say?
Across the last 2 meetings: 2 Real Madrid win(s), 0 draw(s), 0 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 8, 2016 | Real Madrid 2-0 AS Roma | UEFA Champions League |
| Feb 17, 2016 | AS Roma 0-2 Real Madrid | UEFA Champions League |
Last archived meeting: Real Madrid vs AS Roma on Mar 8, 2016
How many goals should we expect?
Real Madrid score 2.2 and concede 1.4 goals per match over their last 15; AS Roma score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Madrid | 2.2 | 1.4 | 2 | 13/15 | 13/15 |
| AS Roma | 1.8 | 1.5 | 6 | 8/15 | 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