Sevilla vs Juventus: result 2-1 and analysis
UEFA Europa LeagueSemi-finalsKick-off on May 18, 2023 at 07:00 PM (UTC)Estadio Ramón Sánchez Pizjuán, Sevilla
Full time
What was the result of Sevilla vs Juventus?
Sevilla won 2-1 on May 18, 2023.
Goalscorers
- 65′D. VlahovićJuventus
- 71′SusoSevilla
- 95′E. LamelaSevilla
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sevilla have 9 wins, 3 draws and 3 defeats; Juventus have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2023 | Valladolid(away) | 3-0 | La Liga |
| May 11, 2023 | Juventus(away) | 1-1 | UEFA Europa League |
| May 4, 2023 | Espanyol(home) | 3-2 | La Liga |
| May 1, 2023 | Girona(home) | 0-2 | La Liga |
| Apr 27, 2023 | Athletic Club(away) | 1-0 | La Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2023 | Cremonese(home) | 2-0 | Serie A |
| May 11, 2023 | Sevilla(home) | 1-1 | UEFA Europa League |
| May 7, 2023 | Atalanta(away) | 2-0 | Serie A |
| May 3, 2023 | Lecce(home) | 2-1 | Serie A |
| Apr 30, 2023 | Bologna(away) | 1-1 | Serie A |
What does the head-to-head say?
Across the last 5 meetings: 1 Sevilla win(s), 2 draw(s), 2 Juventus win(s).
| Date | Score | Competition |
|---|---|---|
| May 11, 2023 | Juventus 1-1 Sevilla | UEFA Europa League |
| Nov 22, 2016 | Sevilla 1-3 Juventus | UEFA Champions League |
| Sep 14, 2016 | Juventus 0-0 Sevilla | UEFA Champions League |
| Dec 8, 2015 | Sevilla 1-0 Juventus | UEFA Champions League |
| Sep 30, 2015 | Juventus 2-0 Sevilla | UEFA Champions League |
How many goals should we expect?
Sevilla score 1.7 and concede 0.9 goals per match over their last 15; Juventus score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sevilla | 1.7 | 0.9 | 6 | 6/15 | 7/15 |
| Juventus | 1.1 | 0.7 | 6 | 6/15 | 2/15 |
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