BSC Young Boys vs AS Roma: result 1-2 and analysis
UEFA Europa LeagueGroup A - 1Kick-off on October 22, 2020 at 04:55 PM (UTC)Stadion Wankdorf, Bern
Full time
What was the result of BSC Young Boys vs AS Roma?
AS Roma won 1-2 on October 22, 2020.
Goalscorers
- 14′J. NsameBSC Young Boys (pen.)
- 69′Bruno PeresAS Roma
- 73′M. KumbullaAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, BSC Young Boys have 12 wins, 2 draws and 1 defeats; AS Roma have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2020 | Servette FC(away) | 0-0 | Super League |
| Oct 4, 2020 | FC Vaduz(home) | 1-0 | Super League |
| Oct 1, 2020 | Tirana(home) | 3-0 | UEFA Europa League |
| Sep 26, 2020 | FC Sion(away) | 0-0 | Super League |
| Sep 19, 2020 | FC Zurich(home) | 2-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Benevento(home) | 5-2 | Serie A |
| Oct 3, 2020 | Udinese(away) | 1-0 | Serie A |
| Sep 27, 2020 | Juventus(home) | 2-2 | Serie A |
| Sep 19, 2020 | Hellas Verona(away) | 0-3 | Serie A |
| Aug 6, 2020 | Sevilla(away) | 0-2 | UEFA Europa League |
How many goals should we expect?
BSC Young Boys score 1.8 and concede 0.6 goals per match over their last 15; AS Roma score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BSC Young Boys | 1.8 | 0.6 | 8 | 6/15 | 9/15 |
| AS Roma | 2.1 | 1.5 | 2 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
BSC Young Boys sit 25th in UEFA Europa League (9 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 |
| 25 | BSC Young Boys | 8 | 3 | 0 | 5 | 10 | 16 | 9 |
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