AC Milan vs Juventus: result 1-1 and analysis
Coppa ItaliaSemi-finalsKick-off on February 13, 2020 at 07:45 PM (UTC)Stadio Giuseppe Meazza, Milano
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What was the result of AC Milan vs Juventus?
AC Milan and Juventus drew 1-1 on February 13, 2020.
Goalscorers
- 61′A. RebićAC Milan
- 90′Cristiano RonaldoJuventus (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, AC Milan have 7 wins, 4 draws and 4 defeats; Juventus have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2020 | Inter(away) | 2-4 | Serie A |
| Feb 2, 2020 | Hellas Verona(home) | 1-1 | Serie A |
| Jan 28, 2020 | Torino(home) | 4-2 | Coppa Italia |
| Jan 24, 2020 | Brescia(away) | 1-0 | Serie A |
| Jan 19, 2020 | Udinese(home) | 3-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 8, 2020 | Hellas Verona(away) | 1-2 | Serie A |
| Feb 2, 2020 | Fiorentina(home) | 3-0 | Serie A |
| Jan 26, 2020 | Napoli(away) | 1-2 | Serie A |
| Jan 22, 2020 | AS Roma(home) | 3-1 | Coppa Italia |
| Jan 19, 2020 | Parma(home) | 2-1 | Serie A |
What does the head-to-head say?
Across the last 6 meetings: 0 AC Milan win(s), 0 draw(s), 6 Juventus win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2019 | Juventus 1-0 AC Milan | Serie A |
| Apr 6, 2019 | Juventus 2-1 AC Milan | Serie A |
| Jan 16, 2019 | Juventus 1-0 AC Milan | Super Cup |
| Nov 11, 2018 | AC Milan 0-2 Juventus | Serie A |
| May 9, 2018 | Juventus 4-0 AC Milan | Coppa Italia |
| Mar 31, 2018 | Juventus 3-1 AC Milan | Serie A |
How many goals should we expect?
AC Milan score 1.5 and concede 1.3 goals per match over their last 15; Juventus score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AC Milan | 1.5 | 1.3 | 6 | 7/15 | 7/15 |
| Juventus | 2.1 | 1.1 | 5 | 10/15 | 13/15 |
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