Juventus vs Dinamo Zagreb: result 2-0 and analysis
UEFA Champions LeagueGroup Stage - 6Kick-off on December 7, 2016 at 07:45 PM (UTC)Allianz Stadium, Torino
Full time
What was the result of Juventus vs Dinamo Zagreb?
Juventus won 2-0 on December 7, 2016.
Goalscorers
- 52′G. HiguaínJuventus
- 73′D. RuganiJuventus
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus have 12 wins, 1 draws and 2 defeats; Dinamo Zagreb have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2016 | Atalanta(home) | 3-1 | Serie A |
| Nov 27, 2016 | Genoa(away) | 1-3 | Serie A |
| Nov 22, 2016 | Sevilla(away) | 3-1 | UEFA Champions League |
| Nov 19, 2016 | Pescara(home) | 3-0 | Serie A |
| Nov 6, 2016 | Chievo(away) | 2-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2016 | HNK Rijeka(home) | 1-1 | HNL |
| Nov 27, 2016 | NK Osijek(away) | 2-0 | HNL |
| Nov 22, 2016 | Lyon(home) | 0-1 | UEFA Champions League |
| Nov 18, 2016 | Istra 1961(home) | 1-1 | HNL |
| Nov 6, 2016 | RNK Split(away) | 1-0 | HNL |
What does the head-to-head say?
Across the last 1 meetings: 1 Juventus win(s), 0 draw(s), 0 Dinamo Zagreb win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2016 | Dinamo Zagreb 0-4 Juventus | UEFA Champions League |
Last archived meeting: Dinamo Zagreb vs Juventus on Sep 27, 2016
How many goals should we expect?
Juventus score 2.3 and concede 0.7 goals per match over their last 15; Dinamo Zagreb score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 2.3 | 0.7 | 6 | 8/15 | 11/15 |
| Dinamo Zagreb | 0.9 | 1.3 | 7 | 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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Juventus | 8 | 3 | 4 | 1 | 14 | 10 | 13 |
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