Cukaricki vs Metalac GM: result 2-0 and analysis
Super LigaRelegation Round - 3Kick-off on April 30, 2017 at 05:00 PM (UTC)Stadion na Banovom brdu, Beograd
Full time
What was the result of Cukaricki vs Metalac GM?
Cukaricki won 2-0 on April 30, 2017.
Goalscorers
- 68′O. OžegovićCukaricki
- 75′Đ. ĐurićCukaricki
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cukaricki have 8 wins, 2 draws and 5 defeats; Metalac GM have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Borac Cacak(away) | 1-0 | Super Liga |
| Apr 18, 2017 | Radnik Surdulica(home) | 1-2 | Super Liga |
| Apr 13, 2017 | FK Vozdovac(away) | 3-1 | Super Liga |
| Apr 9, 2017 | Mladost Lucani(home) | 1-1 | Super Liga |
| Mar 31, 2017 | Metalac GM(away) | 3-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2017 | Backa(home) | 2-1 | Super Liga |
| Apr 18, 2017 | FK Spartak Zdrepceva KRV(away) | 1-3 | Super Liga |
| Apr 13, 2017 | RAD(home) | 1-2 | Super Liga |
| Apr 9, 2017 | FK Spartak Zdrepceva KRV(away) | 0-0 | Super Liga |
| Mar 31, 2017 | Cukaricki(home) | 0-3 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Cukaricki win(s), 0 draw(s), 0 Metalac GM win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2017 | Metalac GM 0-3 Cukaricki | Super Liga |
| Oct 22, 2016 | Cukaricki 2-1 Metalac GM | Super Liga |
Last archived meeting: Metalac GM vs Cukaricki on Mar 31, 2017
How many goals should we expect?
Cukaricki score 1.6 and concede 1.3 goals per match over their last 15; Metalac GM score 0.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cukaricki | 1.6 | 1.3 | 5 | 9/15 | 8/15 |
| Metalac GM | 0.6 | 1.5 | 2 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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