Malmo FF vs Juventus: result 0-2 and analysis
UEFA Champions LeagueGroup stage - 5Kick-off on November 26, 2014 at 07:45 PM (UTC)Eleda Stadion, Malmö
Full time
What was the result of Malmo FF vs Juventus?
Juventus won 0-2 on November 26, 2014.
Goalscorers
- 49′LlorenteJuventus
- 88′C. TevezJuventus
What is the recent form of both teams?
Over their last 15 matches in all competitions, Malmo FF have 6 wins, 3 draws and 6 defeats; Juventus have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2014 | Atletico Madrid(home) | 0-2 | UEFA Champions League |
| Oct 22, 2014 | Atletico Madrid(away) | 0-5 | UEFA Champions League |
| Oct 1, 2014 | Olympiakos Piraeus(home) | 2-0 | UEFA Champions League |
| Sep 16, 2014 | Juventus(away) | 0-2 | UEFA Champions League |
| Aug 27, 2014 | Red Bull Salzburg(home) | 3-0 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2014 | Lazio(away) | 3-0 | Serie A |
| Nov 9, 2014 | Parma(home) | 7-0 | Serie A |
| Nov 4, 2014 | Olympiakos Piraeus(home) | 3-2 | UEFA Champions League |
| Nov 1, 2014 | Empoli(away) | 2-0 | Serie A |
| Oct 29, 2014 | Genoa(away) | 0-1 | Serie A |
What does the head-to-head say?
Across the last 1 meetings: 0 Malmo FF win(s), 0 draw(s), 1 Juventus win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2014 | Juventus 2-0 Malmo FF | UEFA Champions League |
How many goals should we expect?
Malmo FF score 1.1 and concede 1.4 goals per match over their last 15; Juventus score 2.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Malmo FF | 1.1 | 1.4 | 7 | 5/15 | 5/15 |
| Juventus | 2.1 | 0.5 | 9 | 3/15 | 6/15 |
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