Kustosija vs HNK Hajduk Split II: result 1-0 and analysis
First NLRegular Season - 12Kick-off on October 14, 2017 at 01:00 PM (UTC)Igralište NK Kustošija, Zagreb
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What was the result of Kustosija vs HNK Hajduk Split II?
Kustosija won 1-0 on October 14, 2017.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Kustosija have 0 wins, 4 draws and 7 defeats; HNK Hajduk Split II have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2017 | Solin(home) | 1-1 | First NL |
| Oct 7, 2017 | HNK Gorica(away) | 0-1 | First NL |
| Oct 1, 2017 | Lucko(home) | 0-0 | First NL |
| Sep 27, 2017 | Hrvatski Dragovoljac(away) | 1-1 | First NL |
| Sep 23, 2017 | Novigrad(home) | 0-1 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2017 | NK Varazdin(home) | 0-2 | First NL |
| Oct 7, 2017 | Solin(away) | 0-1 | First NL |
| Oct 1, 2017 | HNK Gorica(home) | 1-1 | First NL |
| Sep 27, 2017 | Lucko(away) | 2-2 | First NL |
| Sep 22, 2017 | Hrvatski Dragovoljac(home) | 2-1 | First NL |
What does the head-to-head say?
Across the last 1 meetings: 0 Kustosija win(s), 0 draw(s), 1 HNK Hajduk Split II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2017 | HNK Hajduk Split II 2-0 Kustosija | First NL |
Last archived meeting: HNK Hajduk Split II vs Kustosija on Aug 20, 2017
How many goals should we expect?
Kustosija score 0.4 and concede 1.2 goals per match over their last 11; HNK Hajduk Split II score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kustosija | 0.4 | 1.2 | 1 | 4/11 | 1/11 |
| HNK Hajduk Split II | 1.4 | 0.9 | 4 | 4/11 | 5/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Kustosija | 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