Dugopolje vs NK Zagreb: result 3-1 and analysis
First NLRegular Season - 14Kick-off on November 5, 2016 at 01:00 PM (UTC)Stadion Hrvatski vitezovi, Dugopolje
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What was the result of Dugopolje vs NK Zagreb?
Dugopolje won 3-1 on November 5, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Dugopolje have 5 wins, 4 draws and 4 defeats; NK Zagreb have 5, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2016 | HNK Gorica(away) | 0-3 | First NL |
| Oct 22, 2016 | Sesvete(home) | 2-2 | First NL |
| Oct 15, 2016 | Imotski(home) | 2-0 | First NL |
| Oct 8, 2016 | Novigrad(away) | 0-1 | First NL |
| Oct 1, 2016 | Lucko(away) | 1-1 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Lucko(home) | 4-0 | First NL |
| Oct 22, 2016 | Rudes(away) | 0-0 | First NL |
| Oct 16, 2016 | Dinamo Zagreb II(away) | 1-1 | First NL |
| Oct 8, 2016 | Sibenik(home) | 1-0 | First NL |
| Oct 2, 2016 | Hrvatski Dragovoljac(away) | 0-1 | First NL |
What does the head-to-head say?
In the last meeting: 0 Dugopolje wins, 1 draw, 0 NK Zagreb wins.
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2016 | NK Zagreb 0-0 Dugopolje | First NL |
Last archived meeting: NK Zagreb vs Dugopolje on Sep 3, 2016
How many goals should we expect?
Dugopolje score 1.1 and concede 0.8 goals per match over their last 13; NK Zagreb score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dugopolje | 1.1 | 0.8 | 6 | 4/13 | 4/13 |
| NK Zagreb | 1.6 | 0.8 | 5 | 7/13 | 6/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Dugopolje | 11 | 2 | 4 | 5 | 14 | 19 | 10 |
A question about Dugopolje vs NK Zagreb?
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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