Benevento vs Juventus: result 2-4 and analysis
Serie ARegular Season - 31Kick-off on April 7, 2018 at 01:00 PM (UTC)Stadio Ciro Vigorito, Benevento
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What was the result of Benevento vs Juventus?
Juventus won 2-4 on April 7, 2018.
Goalscorers
- 16′P. DybalaJuventus
- 24′C. DiabatéBenevento
- 45′P. DybalaJuventus (pen.)
- 51′C. DiabatéBenevento
- 74′P. DybalaJuventus (pen.)
- 82′Douglas CostaJuventus
What is the recent form of both teams?
Over their last 15 matches in all competitions, Benevento have 4 wins, 0 draws and 11 defeats; Juventus have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2018 | Hellas Verona(home) | 3-0 | Serie A |
| Mar 31, 2018 | Lazio(away) | 2-6 | Serie A |
| Mar 18, 2018 | Cagliari(home) | 1-2 | Serie A |
| Mar 11, 2018 | Fiorentina(away) | 0-1 | Serie A |
| Feb 24, 2018 | Inter(away) | 0-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2018 | Real Madrid(home) | 0-3 | UEFA Champions League |
| Mar 31, 2018 | AC Milan(home) | 3-1 | Serie A |
| Mar 17, 2018 | Spal(away) | 0-0 | Serie A |
| Mar 14, 2018 | Atalanta(home) | 2-0 | Serie A |
| Mar 11, 2018 | Udinese(home) | 2-0 | Serie A |
What does the head-to-head say?
Across the last 1 meetings: 0 Benevento win(s), 0 draw(s), 1 Juventus win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2017 | Juventus 2-1 Benevento | Serie A |
How many goals should we expect?
Benevento score 1.1 and concede 2.2 goals per match over their last 15; Juventus score 1.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Benevento | 1.1 | 2.2 | 2 | 6/15 | 9/15 |
| Juventus | 1.8 | 0.5 | 11 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Juventus | 1 | 1 | 0 | 0 | 1 | 0 | 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