FK Crvena Zvezda vs Macva: result 4-0 and analysis
Super LigaRegular Season - 13Kick-off on October 14, 2017 at 02:00 PM (UTC)Stadion Rajko Mitić, Beograd
Full time
What was the result of FK Crvena Zvezda vs Macva?
FK Crvena Zvezda won 4-0 on October 14, 2017.
Goalscorers
- 20′R. BoakyeFK Crvena Zvezda
- 29′R. ProtićFK Crvena Zvezda (o.g.)
- 52′A. PešićFK Crvena Zvezda
- 90′L. IlićFK Crvena Zvezda
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Crvena Zvezda have 11 wins, 2 draws and 2 defeats; Macva have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2017 | Napredak(away) | 0-1 | Super Liga |
| Sep 28, 2017 | 1. FC Köln(away) | 1-0 | UEFA Europa League |
| Sep 24, 2017 | Vojvodina(home) | 2-0 | Super Liga |
| Sep 20, 2017 | Borac Cacak(away) | 2-0 | Super Liga |
| Sep 17, 2017 | FK Vozdovac(away) | 2-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Backa(home) | 1-1 | Super Liga |
| Sep 24, 2017 | Napredak(away) | 1-3 | Super Liga |
| Sep 17, 2017 | Radnik Surdulica(home) | 4-0 | Super Liga |
| Sep 13, 2017 | Vojvodina(away) | 0-1 | Super Liga |
| Sep 8, 2017 | Cukaricki(home) | 0-2 | Super Liga |
How many goals should we expect?
FK Crvena Zvezda score 1.9 and concede 0.5 goals per match over their last 15; Macva score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Crvena Zvezda | 1.9 | 0.5 | 10 | 4/15 | 5/15 |
| Macva | 1.5 | 1.8 | 4 | 8/15 | 9/15 |
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 Macva sit 10th (6 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FK Crvena Zvezda | 4 | 4 | 0 | 0 | 14 | 1 | 12 |
| 10 | Macva | 6 | 2 | 0 | 4 | 4 | 12 | 6 |
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