FK Partizan vs FK Crvena Zvezda: result 1-0 and analysis
Super LigaRegular Season - 9Kick-off on September 17, 2016 at 04:00 PM (UTC)Stadion Partizana, Beograd
Full time
What was the result of FK Partizan vs FK Crvena Zvezda?
FK Partizan won 1-0 on September 17, 2016.
Goalscorers
- 89′LeonardoFK Partizan
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Partizan have 6 wins, 3 draws and 6 defeats; FK Crvena Zvezda have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Borac Cacak(away) | 2-0 | Super Liga |
| Aug 27, 2016 | RAD(home) | 4-0 | Super Liga |
| Aug 20, 2016 | FK Spartak Zdrepceva KRV(away) | 1-2 | Super Liga |
| Aug 14, 2016 | Cukaricki(home) | 1-0 | Super Liga |
| Aug 10, 2016 | Javor(away) | 2-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Backa(home) | 2-0 | Super Liga |
| Aug 28, 2016 | Novi Pazar(away) | 4-1 | Super Liga |
| Aug 25, 2016 | Sassuolo(home) | 1-1 | UEFA Europa League |
| Aug 21, 2016 | Radnik Surdulica(home) | 5-0 | Super Liga |
| Aug 18, 2016 | Sassuolo(away) | 0-3 | UEFA Europa League |
How many goals should we expect?
FK Partizan score 1.3 and concede 1.3 goals per match over their last 15; FK Crvena Zvezda score 2.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Partizan | 1.3 | 1.3 | 7 | 7/15 | 8/15 |
| FK Crvena Zvezda | 2.4 | 1.3 | 4 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
FK Partizan sit 12th in Super Liga (4 points from 5 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 |
| 12 | FK Partizan | 5 | 1 | 1 | 3 | 7 | 9 | 4 |
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