Manchester United vs AS Roma: result 6-2 and analysis
UEFA Europa LeagueSemi-finalsKick-off on April 29, 2021 at 07:00 PM (UTC)Old Trafford, Manchester
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What was the result of Manchester United vs AS Roma?
Manchester United won 6-2 on April 29, 2021.
Goalscorers
- 9′Bruno FernandesManchester United
- 15′L. PellegriniAS Roma (pen.)
- 33′E. DzekoAS Roma
- 48′E. CavaniManchester United
- 64′E. CavaniManchester United
- 71′Bruno FernandesManchester United (pen.)
- 75′P. PogbaManchester United
- 86′M. GreenwoodManchester United
What is the recent form of both teams?
Over their last 15 matches in all competitions, Manchester United have 9 wins, 5 draws and 1 defeats; AS Roma have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2021 | Leeds(away) | 0-0 | Premier League |
| Apr 18, 2021 | Burnley(home) | 3-1 | Premier League |
| Apr 15, 2021 | Granada CF(home) | 2-0 | UEFA Europa League |
| Apr 11, 2021 | Tottenham(away) | 3-1 | Premier League |
| Apr 8, 2021 | Granada CF(away) | 2-0 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2021 | Cagliari(away) | 2-3 | Serie A |
| Apr 22, 2021 | Atalanta(home) | 1-1 | Serie A |
| Apr 18, 2021 | Torino(away) | 1-3 | Serie A |
| Apr 15, 2021 | Ajax(home) | 1-1 | UEFA Europa League |
| Apr 11, 2021 | Bologna(home) | 1-0 | Serie A |
How many goals should we expect?
Manchester United score 1.4 and concede 0.5 goals per match over their last 15; AS Roma score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Manchester United | 1.4 | 0.5 | 9 | 6/15 | 5/15 |
| AS Roma | 1.5 | 1.3 | 3 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | AS Roma | 8 | 5 | 1 | 2 | 13 | 6 | 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