Ludogorets vs AS Roma: result 2-1 and analysis
UEFA Europa LeagueGroup Stage - 1Kick-off on September 8, 2022 at 04:45 PM (UTC)Huvepharma Arena, Razgrad
Full time
What was the result of Ludogorets vs AS Roma?
Ludogorets won 2-1 on September 8, 2022.
Goalscorers
- 72′CaulyLudogorets
- 86′E. ShomurodovAS Roma
- 88′NonatoLudogorets
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ludogorets have 9 wins, 3 draws and 3 defeats; AS Roma have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | Hebar 1918(home) | 6-0 | First League |
| Sep 1, 2022 | Levski Sofia(home) | 2-2 | Super Cup |
| Aug 29, 2022 | Cherno More Varna(away) | 3-2 | First League |
| Aug 25, 2022 | FK Zalgiris Vilnius(away) | 3-3 | UEFA Europa League |
| Aug 22, 2022 | Pirin Blagoevgrad(away) | 4-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | Udinese(away) | 0-4 | Serie A |
| Aug 30, 2022 | Monza(home) | 3-0 | Serie A |
| Aug 27, 2022 | Juventus(away) | 1-1 | Serie A |
| Aug 22, 2022 | Cremonese(home) | 1-0 | Serie A |
| Aug 14, 2022 | Salernitana(away) | 1-0 | Serie A |
How many goals should we expect?
Ludogorets score 2.6 and concede 1.1 goals per match over their last 15; AS Roma score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ludogorets | 2.6 | 1.1 | 8 | 7/15 | 12/15 |
| AS Roma | 1.6 | 0.8 | 9 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ludogorets sit 22nd in UEFA Europa League (10 points from 8 matches) and AS Roma sit 8th (16 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | AS Roma | 8 | 5 | 1 | 2 | 13 | 6 | 16 |
| 22 | Ludogorets | 8 | 3 | 1 | 4 | 12 | 15 | 10 |
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