Juventus vs Sevilla: result 1-1 and analysis
UEFA Europa LeagueSemi-finalsKick-off on May 11, 2023 at 07:00 PM (UTC)Allianz Stadium, Torino
Full time
What was the result of Juventus vs Sevilla?
Juventus and Sevilla drew 1-1 on May 11, 2023.
Goalscorers
- 26′Y. En-NesyriSevilla
- 90′F. GattiJuventus
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus have 8 wins, 3 draws and 4 defeats; Sevilla have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 26, 2023 | Inter(away) | 0-1 | Coppa Italia |
| Apr 23, 2023 | Napoli(home) | 0-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 23, 2023 | Villarreal(home) | 2-1 | La Liga |
| Apr 20, 2023 | Manchester United(home) | 3-0 | UEFA Europa League |
What does the head-to-head say?
Across the last 4 meetings: 2 Juventus win(s), 1 draw(s), 1 Sevilla win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Juventus score 1.2 and concede 0.7 goals per match over their last 15; Sevilla score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 1.2 | 0.7 | 6 | 6/15 | 3/15 |
| Sevilla | 1.6 | 1.5 | 5 | 7/15 | 8/15 |
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