Bodo/Glimt vs AS Roma: result 2-1 and analysis
UEFA Europa Conference LeagueQuarter-finalsKick-off on April 7, 2022 at 07:00 PM (UTC)Aspmyra Stadion, Bodø
Full time
What was the result of Bodo/Glimt vs AS Roma?
Bodo/Glimt won 2-1 on April 7, 2022.
Goalscorers
- 43′L. PellegriniAS Roma
- 56′U. SaltnesBodo/Glimt
- 89′H. VetlesenBodo/Glimt
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bodo/Glimt have 8 wins, 7 draws and 0 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 |
|---|---|---|---|
| Apr 3, 2022 | Rosenborg(home) | 2-2 | Eliteserien |
| Mar 20, 2022 | Lillestrom(home) | 4-1 | NM Cupen |
| Mar 17, 2022 | AZ Alkmaar(away) | 2-2 | UEFA Europa Conference League |
| Mar 10, 2022 | AZ Alkmaar(home) | 2-1 | UEFA Europa Conference League |
| Mar 6, 2022 | Aalesund(away) | 3-0 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2022 | Sampdoria(away) | 1-0 | Serie A |
| Mar 20, 2022 | Lazio(home) | 3-0 | Serie A |
| Mar 17, 2022 | Vitesse(home) | 1-1 | UEFA Europa Conference League |
| Mar 13, 2022 | Udinese(away) | 1-1 | Serie A |
| Mar 10, 2022 | Vitesse(away) | 1-0 | UEFA Europa Conference League |
What does the head-to-head say?
Across the last 2 meetings: 1 Bodo/Glimt win(s), 1 draw(s), 0 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2021 | AS Roma 2-2 Bodo/Glimt | UEFA Europa Conference League |
| Oct 21, 2021 | Bodo/Glimt 6-1 AS Roma | UEFA Europa Conference League |
How many goals should we expect?
Bodo/Glimt score 2.1 and concede 0.9 goals per match over their last 15; AS Roma score 1.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bodo/Glimt | 2.1 | 0.9 | 6 | 9/15 | 9/15 |
| AS Roma | 1.6 | 1.0 | 7 | 7/15 | 6/15 |
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