Metalac GM vs Cukaricki: result 0-3 and analysis
Super LigaRegular Season - 28Kick-off on March 31, 2017 at 03:00 PM (UTC)Stadion FK Metalac, Gornji Milanovac
Full time
What was the result of Metalac GM vs Cukaricki?
Cukaricki won 0-3 on March 31, 2017.
Goalscorers
- 2′O. OžegovićCukaricki (pen.)
- 10′O. OžegovićCukaricki
- 66′D. ZorićCukaricki
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalac GM have 2 wins, 5 draws and 8 defeats; Cukaricki have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2017 | Javor(away) | 0-1 | Super Liga |
| Mar 13, 2017 | Vojvodina(home) | 0-3 | Super Liga |
| Mar 8, 2017 | FK Partizan(away) | 0-3 | Super Liga |
| Mar 4, 2017 | Backa(home) | 0-1 | Super Liga |
| Mar 1, 2017 | Radnik Surdulica(home) | 3-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | FK Crvena Zvezda(home) | 3-4 | Super Liga |
| Mar 12, 2017 | Borac Cacak(away) | 3-2 | Super Liga |
| Mar 8, 2017 | RAD(home) | 1-1 | Super Liga |
| Mar 4, 2017 | FK Spartak Zdrepceva KRV(away) | 1-0 | Super Liga |
| Feb 25, 2017 | Napredak(home) | 1-0 | Super Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Metalac GM win(s), 0 draw(s), 1 Cukaricki win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2016 | Cukaricki 2-1 Metalac GM | Super Liga |
Last archived meeting: Cukaricki vs Metalac GM on Oct 22, 2016
How many goals should we expect?
Metalac GM score 0.7 and concede 1.3 goals per match over their last 15; Cukaricki score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalac GM | 0.7 | 1.3 | 2 | 7/15 | 6/15 |
| Cukaricki | 1.6 | 1.5 | 3 | 10/15 | 8/15 |
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