Juventus vs AC Milan: result 4-0 and analysis
Coppa ItaliaFinalKick-off on May 9, 2018 at 07:00 PM (UTC)Allianz Stadium, Torino
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What was the result of Juventus vs AC Milan?
Juventus won 4-0 on May 9, 2018.
Goalscorers
- 56′M. BenatiaJuventus
- 61′Douglas CostaJuventus
- 64′M. BenatiaJuventus
- 76′N. KalinićJuventus (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus have 11 wins, 2 draws and 2 defeats; AC Milan have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Bologna(home) | 3-1 | Serie A |
| Apr 28, 2018 | Inter(away) | 3-2 | Serie A |
| Apr 22, 2018 | Napoli(home) | 0-1 | Serie A |
| Apr 18, 2018 | Crotone(away) | 1-1 | Serie A |
| Apr 15, 2018 | Sampdoria(home) | 3-0 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Hellas Verona(home) | 4-1 | Serie A |
| Apr 29, 2018 | Bologna(away) | 2-1 | Serie A |
| Apr 21, 2018 | Benevento(home) | 0-1 | Serie A |
| Apr 18, 2018 | Torino(away) | 1-1 | Serie A |
| Apr 15, 2018 | Napoli(home) | 0-0 | Serie A |
What does the head-to-head say?
Across the last 6 meetings: 4 Juventus win(s), 1 draw(s), 1 AC Milan win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2018 | Juventus 3-1 AC Milan | Serie A |
| Oct 28, 2017 | AC Milan 0-2 Juventus | Serie A |
| Mar 10, 2017 | Juventus 2-1 AC Milan | Serie A |
| Jan 25, 2017 | Juventus 2-1 AC Milan | Coppa Italia |
| Dec 23, 2016 | Juventus 2-2 AC Milan | Super Cup |
| Oct 22, 2016 | AC Milan 1-0 Juventus | Serie A |
How many goals should we expect?
Juventus score 1.9 and concede 0.9 goals per match over their last 15; AC Milan score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 1.9 | 0.9 | 6 | 7/15 | 8/15 |
| AC Milan | 1.1 | 1.0 | 6 | 7/15 | 5/15 |
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