Zarkovo vs Metalac GM: result 1-2 and analysis
Prva LigaRegular Season - 18Kick-off on November 21, 2018 at 12:00 PM (UTC)Stadion Žarkovo, Beograd
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What was the result of Zarkovo vs Metalac GM?
Metalac GM won 1-2 on November 21, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zarkovo have 4 wins, 5 draws and 6 defeats; Metalac GM have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2018 | Javor(away) | 1-7 | Prva Liga |
| Nov 11, 2018 | FK Zlatibor(home) | 2-2 | Prva Liga |
| Nov 5, 2018 | Sindjelic Beograd(home) | 2-1 | Prva Liga |
| Oct 31, 2018 | Buducnost Dobanovci(away) | 1-1 | Prva Liga |
| Oct 27, 2018 | Bezanija(home) | 2-0 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2018 | Indjija(home) | 2-2 | Prva Liga |
| Nov 11, 2018 | Javor(home) | 4-1 | Prva Liga |
| Nov 5, 2018 | FK Zlatibor(home) | 2-0 | Prva Liga |
| Oct 31, 2018 | Sindjelic Beograd(away) | 0-1 | Prva Liga |
| Oct 28, 2018 | Buducnost Dobanovci(home) | 2-1 | Prva Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Zarkovo win(s), 1 draw(s), 0 Metalac GM win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2018 | Metalac GM 0-0 Zarkovo | Prva Liga |
Last archived meeting: Metalac GM vs Zarkovo on Aug 25, 2018
How many goals should we expect?
Zarkovo score 1.3 and concede 1.5 goals per match over their last 15; Metalac GM score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zarkovo | 1.3 | 1.5 | 4 | 9/15 | 7/15 |
| Metalac GM | 1.5 | 0.9 | 4 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Metalac GM | 5 | 1 | 1 | 3 | 4 | 7 | 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