Juventus vs Sevilla: result 0-0 and analysis
UEFA Champions LeagueGroup Stage - 1Kick-off on September 14, 2016 at 06:45 PM (UTC)Allianz Stadium, Torino
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What was the result of Juventus vs Sevilla?
Juventus and Sevilla drew 0-0 on September 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus have 12 wins, 1 draws and 2 defeats; Sevilla have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Sassuolo(home) | 3-1 | Serie A |
| Aug 27, 2016 | Lazio(away) | 1-0 | Serie A |
| Aug 20, 2016 | Fiorentina(home) | 2-1 | Serie A |
| Jul 26, 2016 | Tottenham(home) | 2-1 | International Champions Cup |
| Jul 23, 2016 | Melbourne Victory(away) | 1-1 | International Champions Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Las Palmas(home) | 2-1 | La Liga |
| Aug 28, 2016 | Villarreal(away) | 0-0 | La Liga |
| Aug 20, 2016 | Espanyol(home) | 6-4 | La Liga |
| Aug 17, 2016 | Barcelona(away) | 0-3 | Super Cup |
| Aug 14, 2016 | Barcelona(home) | 0-2 | Super Cup |
What does the head-to-head say?
Across the last 2 meetings: 1 Juventus win(s), 0 draw(s), 1 Sevilla win(s).
| Date | Score | Competition |
|---|---|---|
| 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 2.3 and concede 0.9 goals per match over their last 15; Sevilla score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 2.3 | 0.9 | 6 | 9/15 | 11/15 |
| Sevilla | 1.6 | 1.9 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Juventus | 8 | 3 | 4 | 1 | 14 | 10 | 13 |
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