Cukaricki vs FK Spartak Zdrepceva KRV: result 2-4 and analysis
Super LigaRegular Season - 9Kick-off on September 17, 2016 at 05:00 PM (UTC)Stadion na Banovom brdu, Beograd
Full time
What was the result of Cukaricki vs FK Spartak Zdrepceva KRV?
FK Spartak Zdrepceva KRV won 2-4 on September 17, 2016.
Goalscorers
- 16′A. JevtićCukaricki
- 35′N. MilićFK Spartak Zdrepceva KRV
- 48′Vladimir TorbicaFK Spartak Zdrepceva KRV (pen.)
- 51′Đ. IvanovićFK Spartak Zdrepceva KRV
- 66′Ismaël Béko FofanaCukaricki
- 67′O. MudrinskiFK Spartak Zdrepceva KRV
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cukaricki have 3 wins, 5 draws and 7 defeats; FK Spartak Zdrepceva KRV have 4, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Napredak(away) | 1-2 | Super Liga |
| Aug 27, 2016 | Javor(away) | 0-0 | Super Liga |
| Aug 21, 2016 | Vojvodina(home) | 1-3 | Super Liga |
| Aug 14, 2016 | FK Partizan(away) | 0-1 | Super Liga |
| Aug 10, 2016 | Backa(home) | 1-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Javor(home) | 1-1 | Super Liga |
| Aug 28, 2016 | Vojvodina(away) | 0-5 | Super Liga |
| Aug 20, 2016 | FK Partizan(home) | 2-1 | Super Liga |
| Aug 13, 2016 | Backa(away) | 3-1 | Super Liga |
| Aug 10, 2016 | Novi Pazar(home) | 2-5 | Super Liga |
How many goals should we expect?
Cukaricki score 0.8 and concede 1.1 goals per match over their last 15; FK Spartak Zdrepceva KRV score 1.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cukaricki | 0.8 | 1.1 | 6 | 5/15 | 5/15 |
| FK Spartak Zdrepceva KRV | 1.9 | 2.0 | 1 | 6/8 | 7/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Cukaricki | 6 | 3 | 1 | 2 | 9 | 7 | 10 |
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