Zemun vs FK Crvena Zvezda: result 0-1 and analysis
Super LigaRegular Season - 15Kick-off on October 29, 2017 at 12:00 PM (UTC)Stadion u Gornjoj Varoši, Zemun
Full time
What was the result of Zemun vs FK Crvena Zvezda?
FK Crvena Zvezda won 0-1 on October 29, 2017.
Goalscorers
- 82′R. BoakyeFK Crvena Zvezda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zemun have 3 wins, 6 draws and 6 defeats; FK Crvena Zvezda have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2017 | FK Partizan(home) | 1-3 | Super Liga |
| Oct 21, 2017 | Napredak(away) | 1-2 | Super Liga |
| Oct 14, 2017 | Vojvodina(home) | 0-0 | Super Liga |
| Sep 30, 2017 | FK Vozdovac(away) | 1-6 | Super Liga |
| Sep 24, 2017 | FK Spartak Zdrepceva KRV(home) | 1-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2017 | FK Spartak Zdrepceva KRV(home) | 1-0 | Super Liga |
| Oct 22, 2017 | Mladost Lucani(home) | 2-1 | Super Liga |
| Oct 19, 2017 | Arsenal(home) | 0-1 | UEFA Europa League |
| Oct 14, 2017 | Macva(home) | 4-0 | Super Liga |
| Oct 1, 2017 | Napredak(away) | 0-1 | Super Liga |
How many goals should we expect?
Zemun score 0.9 and concede 1.5 goals per match over their last 15; FK Crvena Zvezda score 1.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zemun | 0.9 | 1.5 | 5 | 8/15 | 5/15 |
| FK Crvena Zvezda | 1.6 | 0.6 | 8 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Zemun sit 14th in Super Liga (1 points from 6 matches) and FK Crvena Zvezda sit 1st (12 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FK Crvena Zvezda | 4 | 4 | 0 | 0 | 14 | 1 | 12 |
| 14 | Zemun | 6 | 0 | 1 | 5 | 2 | 12 | 1 |
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