Kolubara vs FK Trayal: result 2-1 and analysis
Prva LigaRegular Season - 16Kick-off on October 27, 2019 at 03:00 PM (UTC)SRC Kolubara, Lazarevac
Full time
What was the result of Kolubara vs FK Trayal?
Kolubara won 2-1 on October 27, 2019.
Goalscorers
- 43′Ivica JovanovićFK Trayal
- 53′Nenad RadonjićKolubara
- 81′M. MilisavljevićKolubara (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolubara have 6 wins, 3 draws and 6 defeats; FK Trayal have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2019 | Zarkovo(home) | 0-0 | Prva Liga |
| Oct 13, 2019 | FK Zlatibor(away) | 0-1 | Prva Liga |
| Oct 9, 2019 | Sindjelic Beograd(home) | 2-1 | Prva Liga |
| Oct 5, 2019 | Metalac GM(away) | 1-2 | Prva Liga |
| Sep 29, 2019 | Radnicki 1923(home) | 1-0 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2019 | FK Zlatibor(home) | 1-2 | Prva Liga |
| Oct 18, 2019 | Semendrija 1924(home) | 0-0 | Prva Liga |
| Oct 13, 2019 | Zarkovo(away) | 1-1 | Prva Liga |
| Oct 5, 2019 | Sindjelic Beograd(away) | 0-0 | Prva Liga |
| Sep 29, 2019 | Metalac GM(home) | 1-1 | Prva Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Kolubara win(s), 0 draw(s), 1 FK Trayal win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2019 | FK Trayal 2-1 Kolubara | Prva Liga |
How many goals should we expect?
Kolubara score 0.9 and concede 0.8 goals per match over their last 15; FK Trayal score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolubara | 0.9 | 0.8 | 7 | 4/15 | 6/15 |
| FK Trayal | 0.7 | 0.9 | 6 | 8/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | FK Trayal | 39 | 9 | 8 | 22 | 40 | 56 | 35 |
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