Kolubara vs FK Crvena Zvezda: result 1-7 and analysis
Super LigaRegular Season - 13Kick-off on October 16, 2021 at 01:55 PM (UTC)SRC Kolubara, Lazarevac
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What was the result of Kolubara vs FK Crvena Zvezda?
FK Crvena Zvezda won 1-7 on October 16, 2021.
Goalscorers
- 8′A. DragovićFK Crvena Zvezda
- 16′E. Fardou Ben MohamedFK Crvena Zvezda
- 18′M. IvanićFK Crvena Zvezda
- 24′M. PavkovFK Crvena Zvezda
- 36′M. IvanićFK Crvena Zvezda
- 43′M. PavkovFK Crvena Zvezda
- 86′B. MladenovićKolubara
- 88′M. LazetićFK Crvena Zvezda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolubara have 5 wins, 3 draws and 7 defeats; FK Crvena Zvezda have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2021 | Radnicki 1923(away) | 2-0 | Super Liga |
| Sep 25, 2021 | Radnicki NIS(home) | 2-3 | Super Liga |
| Sep 21, 2021 | Vojvodina(away) | 1-2 | Super Liga |
| Sep 17, 2021 | Metalac GM(away) | 1-3 | Super Liga |
| Sep 12, 2021 | Novi Pazar(home) | 3-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2021 | Metalac GM(home) | 3-1 | Super Liga |
| Sep 30, 2021 | Ludogorets(away) | 1-0 | UEFA Europa League |
| Sep 26, 2021 | Novi Pazar(away) | 4-0 | Super Liga |
| Sep 19, 2021 | FK Partizan(away) | 1-1 | Super Liga |
| Sep 16, 2021 | SC Braga(home) | 2-1 | UEFA Europa League |
How many goals should we expect?
Kolubara score 1.1 and concede 1.6 goals per match over their last 15; FK Crvena Zvezda score 2.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolubara | 1.1 | 1.6 | 5 | 6/15 | 8/15 |
| FK Crvena Zvezda | 2.3 | 0.6 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FK Crvena Zvezda | 4 | 4 | 0 | 0 | 14 | 1 | 12 |
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