Juventus vs AC Milan: result 2-1 and analysis
Coppa ItaliaQuarter-finalsKick-off on January 25, 2017 at 07:45 PM (UTC)Allianz Stadium, Torino
Full time
What was the result of Juventus vs AC Milan?
Juventus won 2-1 on January 25, 2017.
Goalscorers
- 10′P. DybalaJuventus
- 21′M. PjanićJuventus
- 53′C. BaccaAC Milan
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 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2017 | Lazio(home) | 2-0 | Serie A |
| Jan 15, 2017 | Fiorentina(away) | 1-2 | Serie A |
| Jan 11, 2017 | Atalanta(home) | 3-2 | Coppa Italia |
| Jan 8, 2017 | Bologna(home) | 3-0 | Serie A |
| Dec 23, 2016 | AC Milan(home) | 2-2 | Super Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 21, 2017 | Napoli(home) | 1-2 | Serie A |
| Jan 16, 2017 | Torino(away) | 2-2 | Serie A |
| Jan 12, 2017 | Torino(home) | 2-1 | Coppa Italia |
| Jan 8, 2017 | Cagliari(home) | 1-0 | Serie A |
| Dec 23, 2016 | Juventus(away) | 2-2 | Super Cup |
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 |
|---|---|---|
| Dec 23, 2016 | Juventus 2-2 AC Milan | Super Cup |
| Oct 22, 2016 | AC Milan 1-0 Juventus | Serie A |
| Apr 9, 2016 | AC Milan 1-2 Juventus | Serie A |
| Nov 21, 2015 | Juventus 1-0 AC Milan | Serie A |
| Feb 7, 2015 | Juventus 3-1 AC Milan | Serie A |
| Sep 20, 2014 | AC Milan 0-1 Juventus | Serie A |
How many goals should we expect?
Juventus score 2.1 and concede 1.0 goals per match over their last 15; AC Milan score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 2.1 | 1.0 | 5 | 10/15 | 11/15 |
| AC Milan | 1.5 | 1.1 | 4 | 9/15 | 10/15 |
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