Rudes vs Kustosija: result 1-2 and analysis
First NLRegular Season - 18Kick-off on March 1, 2020 at 02:00 PM (UTC)Igralište NK Rudeš, Zagreb
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What was the result of Rudes vs Kustosija?
Kustosija won 1-2 on March 1, 2020.
Goalscorers
- 13′D. JurićRudes
- 71′Luka NakićKustosija
- 81′M. KelavaKustosija
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rudes have 6 wins, 5 draws and 4 defeats; Kustosija have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2020 | Sibenik(away) | 3-3 | First NL |
| Dec 8, 2019 | Bsk Bijelo Brdo(home) | 1-0 | First NL |
| Dec 1, 2019 | Dinamo Zagreb II(home) | 0-0 | First NL |
| Nov 22, 2019 | Medjimurje Cakovec(away) | 1-0 | First NL |
| Nov 10, 2019 | Solin(home) | 1-0 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2020 | HNK Hajduk Split II(home) | 1-1 | First NL |
| Jan 25, 2020 | Hrvatski Dragovoljac(away) | 3-0 | Friendlies Clubs |
| Dec 7, 2019 | Dugopolje(away) | 2-2 | First NL |
| Nov 30, 2019 | Dubrava Zagreb(away) | 2-1 | First NL |
| Nov 23, 2019 | Croatia Zmijavci(home) | 1-0 | First NL |
What does the head-to-head say?
Across the last 1 meetings: 1 Rudes win(s), 0 draw(s), 0 Kustosija win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 31, 2019 | Kustosija 0-2 Rudes | First NL |
How many goals should we expect?
Rudes score 1.5 and concede 1.3 goals per match over their last 15; Kustosija score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudes | 1.5 | 1.3 | 6 | 8/15 | 8/15 |
| Kustosija | 1.1 | 1.0 | 6 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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