Kolubara vs Macva: result 1-2 and analysis
Prva LigaRegular Season - 20Kick-off on April 1, 2017 at 01:30 PM (UTC)SRC Kolubara, Lazarevac
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What was the result of Kolubara vs Macva?
Macva won 1-2 on April 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolubara have 2 wins, 7 draws and 6 defeats; Macva 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 |
|---|---|---|---|
| Mar 27, 2017 | Bezanija(away) | 0-1 | Prva Liga |
| Mar 18, 2017 | Dinamo Vranje(home) | 1-1 | Prva Liga |
| Mar 11, 2017 | Jagodina(away) | 0-3 | Prva Liga |
| Mar 3, 2017 | Buducnost Dobanovci(away) | 0-0 | Prva Liga |
| Nov 19, 2016 | OFK Beograd(home) | 3-3 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Radnicki Pirot(home) | 1-1 | Prva Liga |
| Mar 18, 2017 | Proleter Novi SAD(away) | 2-0 | Prva Liga |
| Mar 11, 2017 | Zemun(home) | 2-1 | Prva Liga |
| Mar 5, 2017 | Sloboda Uzice(away) | 1-1 | Prva Liga |
| Nov 19, 2016 | Indjija(home) | 1-2 | Prva Liga |
What does the head-to-head say?
In the last meeting: 0 Kolubara wins, 0 draws, 1 Macva win.
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | Macva 1-0 Kolubara | Prva Liga |
How many goals should we expect?
Kolubara score 0.7 and concede 1.0 goals per match over their last 15; Macva score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolubara | 0.7 | 1.0 | 4 | 5/15 | 2/15 |
| Macva | 1.3 | 0.7 | 7 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Macva | 35 | 19 | 9 | 7 | 47 | 29 | 66 |
A question about Kolubara vs Macva?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy