FK Crvena Zvezda vs Cukaricki: result 3-1 and analysis
Super LigaRegular Season - 12Kick-off on October 16, 2016 at 01:00 PM (UTC)Stadion Rajko Mitić, Beograd
Full time
What was the result of FK Crvena Zvezda vs Cukaricki?
FK Crvena Zvezda won 3-1 on October 16, 2016.
Goalscorers
- 57′Lucas PiasentinFK Crvena Zvezda (o.g.)
- 83′Lucas PiasentinCukaricki
- 85′Predrag SikimićFK Crvena Zvezda
- 90′Hugo Filipe da Costa OliveiraFK Crvena Zvezda
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Crvena Zvezda have 9 wins, 3 draws and 3 defeats; Cukaricki have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Javor(away) | 4-2 | Super Liga |
| Sep 25, 2016 | Vojvodina(home) | 4-1 | Super Liga |
| Sep 17, 2016 | FK Partizan(away) | 0-1 | Super Liga |
| Sep 10, 2016 | Backa(home) | 2-0 | Super Liga |
| Aug 28, 2016 | Novi Pazar(away) | 4-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Borac Cacak(home) | 1-1 | Super Liga |
| Sep 24, 2016 | RAD(away) | 1-1 | Super Liga |
| Sep 17, 2016 | FK Spartak Zdrepceva KRV(home) | 2-4 | Super Liga |
| Sep 10, 2016 | Napredak(away) | 1-2 | Super Liga |
| Aug 27, 2016 | Javor(away) | 0-0 | Super Liga |
How many goals should we expect?
FK Crvena Zvezda score 2.6 and concede 1.3 goals per match over their last 15; Cukaricki score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Crvena Zvezda | 2.6 | 1.3 | 4 | 9/15 | 12/15 |
| Cukaricki | 1.0 | 1.4 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
FK Crvena Zvezda sit 1st in Super Liga (12 points from 4 matches) and Cukaricki sit 5th (10 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FK Crvena Zvezda | 4 | 4 | 0 | 0 | 14 | 1 | 12 |
| 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