Novigrad vs Kustosija: result 0-2 and analysis
First NLRegular Season - 18Kick-off on November 25, 2017 at 12:30 PM (UTC)Stadion Lako, Novigrad
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What was the result of Novigrad vs Kustosija?
Kustosija won 0-2 on November 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Novigrad have 3 wins, 3 draws and 9 defeats; Kustosija have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | HNK Hajduk Split II(away) | 1-5 | First NL |
| Nov 11, 2017 | Solin(home) | 2-0 | First NL |
| Nov 4, 2017 | HNK Gorica(away) | 2-5 | First NL |
| Oct 28, 2017 | Lucko(home) | 0-0 | First NL |
| Oct 20, 2017 | Hrvatski Dragovoljac(away) | 1-2 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | Dugopolje(home) | 2-1 | First NL |
| Nov 11, 2017 | Sibenik(away) | 0-1 | First NL |
| Nov 4, 2017 | Dinamo Zagreb II(home) | 0-1 | First NL |
| Oct 29, 2017 | Sesvete(away) | 0-2 | First NL |
| Oct 21, 2017 | NK Varazdin(home) | 1-0 | First NL |
What does the head-to-head say?
In the last meeting: 1 Novigrad win, 0 draws, 0 Kustosija wins.
| Date | Score | Competition |
|---|---|---|
| Sep 23, 2017 | Kustosija 0-1 Novigrad | First NL |
Last archived meeting: Kustosija vs Novigrad on Sep 23, 2017
How many goals should we expect?
Novigrad score 0.9 and concede 1.7 goals per match over their last 15; Kustosija score 0.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Novigrad | 0.9 | 1.7 | 5 | 6/15 | 6/15 |
| Kustosija | 0.5 | 1.0 | 3 | 4/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Kustosija | 8 | 1 | 4 | 3 | 4 | 6 | 7 |
A question about Novigrad vs Kustosija?
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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