AS Roma vs FC Midtjylland: result 2-1 and analysis
UEFA Europa LeagueLeague Stage - 5Kick-off on November 27, 2025 at 05:45 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs FC Midtjylland?
AS Roma won 2-1 on November 27, 2025.
Goalscorers
- 7′N. El AynaouiAS Roma
- 83′S. El ShaarawyAS Roma
- 86′PaulinhoFC Midtjylland
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 10 wins, 0 draws and 5 defeats; FC Midtjylland have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Cremonese(away) | 3-1 | Serie A |
| Nov 9, 2025 | Udinese(home) | 2-0 | Serie A |
| Nov 6, 2025 | Rangers(away) | 2-0 | UEFA Europa League |
| Nov 2, 2025 | AC Milan(away) | 0-1 | Serie A |
| Oct 29, 2025 | Parma(home) | 2-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2025 | Sonderjyske(away) | 1-2 | Superliga |
| Nov 9, 2025 | Randers FC(away) | 2-0 | Superliga |
| Nov 6, 2025 | Celtic(home) | 3-1 | UEFA Europa League |
| Nov 3, 2025 | Aarhus(home) | 1-1 | Superliga |
| Oct 30, 2025 | Silkeborg(home) | 4-0 | DBU Pokalen |
How many goals should we expect?
AS Roma score 1.3 and concede 0.7 goals per match over their last 15; FC Midtjylland score 2.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.3 | 0.7 | 6 | 5/15 | 5/15 |
| FC Midtjylland | 2.4 | 0.7 | 7 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
AS Roma sit 8th in UEFA Europa League (16 points from 8 matches) and FC Midtjylland sit 3rd (19 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | FC Midtjylland | 8 | 6 | 1 | 1 | 18 | 8 | 19 |
| 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