Juventus vs Atalanta: result 3-2 and analysis
Coppa Italia8th FinalsKick-off on January 11, 2017 at 07:45 PM (UTC)Allianz Stadium, Torino
Full time
What was the result of Juventus vs Atalanta?
Juventus won 3-2 on January 11, 2017.
Goalscorers
- 22′P. DybalaJuventus
- 34′M. MandžukićJuventus
- 72′Abdoulay KonkoAtalanta
- 75′M. PjanićJuventus (pen.)
- 81′E. Latte LathAtalanta
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; Atalanta have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 8, 2017 | Bologna(home) | 3-0 | Serie A |
| Dec 23, 2016 | AC Milan(home) | 2-2 | Super Cup |
| Dec 17, 2016 | AS Roma(home) | 1-0 | Serie A |
| Dec 11, 2016 | Torino(away) | 3-1 | Serie A |
| Dec 7, 2016 | Dinamo Zagreb(home) | 2-0 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 8, 2017 | Chievo(away) | 4-1 | Serie A |
| Dec 20, 2016 | Empoli(home) | 2-1 | Serie A |
| Dec 17, 2016 | AC Milan(away) | 0-0 | Serie A |
| Dec 11, 2016 | Udinese(home) | 1-3 | Serie A |
| Dec 3, 2016 | Juventus(away) | 1-3 | Serie A |
What does the head-to-head say?
Across the last 6 meetings: 6 Juventus win(s), 0 draw(s), 0 Atalanta win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2016 | Juventus 3-1 Atalanta | Serie A |
| Mar 6, 2016 | Atalanta 0-2 Juventus | Serie A |
| Oct 25, 2015 | Juventus 2-0 Atalanta | Serie A |
| Feb 20, 2015 | Juventus 2-1 Atalanta | Serie A |
| Sep 27, 2014 | Atalanta 0-3 Juventus | Serie A |
| May 5, 2014 | Juventus 1-0 Atalanta | Serie A |
How many goals should we expect?
Juventus score 2.1 and concede 0.9 goals per match over their last 15; Atalanta score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 2.1 | 0.9 | 5 | 9/15 | 10/15 |
| Atalanta | 1.9 | 0.7 | 8 | 7/15 | 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