Dugopolje vs Bsk Bijelo Brdo: result 2-0 and analysis
First NLRegular Season - 11Kick-off on November 3, 2018 at 12:00 PM (UTC)Stadion Hrvatski vitezovi, Dugopolje
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What was the result of Dugopolje vs Bsk Bijelo Brdo?
Dugopolje won 2-0 on November 3, 2018.
Goalscorers
- 66′Ivan Krstulović-OparaDugopolje
- 81′A. ŽivkovićDugopolje
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dugopolje have 4 wins, 1 draws and 10 defeats; Bsk Bijelo Brdo have 3, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2018 | Sesvete(away) | 0-1 | First NL |
| Oct 13, 2018 | Hrvatski Dragovoljac(away) | 2-1 | First NL |
| Oct 6, 2018 | Medjimurje Cakovec(home) | 4-0 | First NL |
| Sep 29, 2018 | NK Zadar(away) | 1-3 | First NL |
| Sep 23, 2018 | NK Osijek II(home) | 1-0 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2018 | Lucko(home) | 1-0 | First NL |
| Oct 21, 2018 | Solin(home) | 1-1 | First NL |
| Oct 13, 2018 | Sesvete(away) | 0-1 | First NL |
| Oct 7, 2018 | Sibenik(home) | 2-1 | First NL |
| Sep 28, 2018 | Hrvatski Dragovoljac(away) | 0-1 | First NL |
How many goals should we expect?
Dugopolje score 1.0 and concede 1.5 goals per match over their last 15; Bsk Bijelo Brdo score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dugopolje | 1.0 | 1.5 | 3 | 6/15 | 7/15 |
| Bsk Bijelo Brdo | 1.2 | 1.5 | 1 | 6/11 | 5/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dugopolje sit 10th in First NL (1 points from 1 matches) and Bsk Bijelo Brdo sit 5th (3 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Bsk Bijelo Brdo | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
| 10 | Dugopolje | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
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