Sevilla vs Shakhtar Donetsk: result 3-1 and analysis
UEFA Europa LeagueSemi-finalsKick-off on May 5, 2016 at 07:05 PM (UTC)Estadio Ramón Sánchez Pizjuán, Sevilla
Full time
What was the result of Sevilla vs Shakhtar Donetsk?
Sevilla won 3-1 on May 5, 2016.
Goalscorers
- 9′K. GameiroSevilla
- 44′Eduardo da SilvaShakhtar Donetsk
- 47′K. GameiroSevilla
- 59′MarianoSevilla
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sevilla have 5 wins, 4 draws and 6 defeats; Shakhtar Donetsk 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 |
|---|---|---|---|
| May 1, 2016 | Espanyol(away) | 0-1 | La Liga |
| Apr 28, 2016 | Shakhtar Donetsk(away) | 2-2 | UEFA Europa League |
| Apr 24, 2016 | Real Betis(home) | 2-0 | La Liga |
| Apr 20, 2016 | Sporting Gijon(away) | 1-2 | La Liga |
| Apr 17, 2016 | Deportivo La Coruna(home) | 1-1 | La Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2016 | Dynamo Kyiv(home) | 3-0 | Premier League |
| Apr 28, 2016 | Sevilla(home) | 2-2 | UEFA Europa League |
| Apr 23, 2016 | Chornomorets(away) | 1-1 | Premier League |
| Apr 20, 2016 | Oleksandria(away) | 1-1 | Cup |
| Apr 17, 2016 | Olimpik Donetsk(home) | 3-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sevilla win(s), 1 draw(s), 0 Shakhtar Donetsk win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2016 | Shakhtar Donetsk 2-2 Sevilla | UEFA Europa League |
Last archived meeting: Shakhtar Donetsk vs Sevilla on Apr 28, 2016
How many goals should we expect?
Sevilla score 1.4 and concede 1.5 goals per match over their last 15; Shakhtar Donetsk score 2.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sevilla | 1.4 | 1.5 | 4 | 9/15 | 9/15 |
| Shakhtar Donetsk | 2.4 | 1.1 | 5 | 10/15 | 11/15 |
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