Sevilla vs Qarabag: result 2-0 and analysis
UEFA Europa LeagueGroup Stage - 5Kick-off on November 28, 2019 at 08:00 PM (UTC)Estadio Ramón Sánchez Pizjuán, Sevilla
Full time
What was the result of Sevilla vs Qarabag?
Sevilla won 2-0 on November 28, 2019.
Goalscorers
- 61′Bryan GilSevilla
- 90′M. DabburSevilla
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sevilla have 10 wins, 2 draws and 3 defeats; Qarabag have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Valladolid(away) | 1-0 | La Liga |
| Nov 10, 2019 | Real Betis(away) | 2-1 | La Liga |
| Nov 7, 2019 | F91 Dudelange(away) | 5-2 | UEFA Europa League |
| Nov 2, 2019 | Atletico Madrid(home) | 1-1 | La Liga |
| Oct 30, 2019 | Valencia(away) | 1-1 | La Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2019 | Sumqayıt(away) | 1-2 | Premyer Liqa |
| Nov 10, 2019 | Zira(home) | 1-1 | Premyer Liqa |
| Nov 7, 2019 | Apoel Nicosia(away) | 1-2 | UEFA Europa League |
| Nov 1, 2019 | Neftchi Baku(away) | 0-0 | Premyer Liqa |
| Oct 28, 2019 | Səbail(home) | 1-0 | Premyer Liqa |
What does the head-to-head say?
Across the last 1 meetings: 1 Sevilla win(s), 0 draw(s), 0 Qarabag win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2019 | Qarabag 0-3 Sevilla | UEFA Europa League |
How many goals should we expect?
Sevilla score 1.7 and concede 1.0 goals per match over their last 15; Qarabag score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sevilla | 1.7 | 1.0 | 7 | 6/15 | 7/15 |
| Qarabag | 1.7 | 0.9 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 36 | Qarabag | 8 | 1 | 0 | 7 | 6 | 20 | 3 |
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