Dakovo-Croatia vs Kustosija: result 1-3 and analysis
Second NLRegular Season - 5Kick-off on September 20, 2025 at 02:00 PM (UTC)Stadion na Pazarištu, Ðakovo
Full time
What was the result of Dakovo-Croatia vs Kustosija?
Kustosija won 1-3 on September 20, 2025.
Goalscorers
- 12′532501Kustosija
- 34′I. GrafKustosija
- 41′N. DurkovicKustosija
- 48′532502Dakovo-Croatia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dakovo-Croatia have 9 wins, 3 draws and 3 defeats; Kustosija have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2025 | Uskok Klis(away) | 3-2 | Second NL |
| Sep 6, 2025 | Bjelovar(home) | 0-1 | Second NL |
| Aug 30, 2025 | Segesta Sisak(away) | 1-2 | Second NL |
| Aug 23, 2025 | Križevci(home) | 2-0 | Second NL |
| May 31, 2025 | NAŠK Našice(away) | 4-0 | Third NL - Zapad |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2025 | Jadran LP(home) | 0-2 | Second NL |
| Sep 6, 2025 | Varteks Varaždin(away) | 1-0 | Second NL |
| Aug 29, 2025 | Hrvatski Dragovoljac(home) | 5-0 | Second NL |
| Aug 23, 2025 | Solin(away) | 2-2 | Second NL |
| May 31, 2025 | Karlovac 1919(away) | 0-1 | Second NL |
How many goals should we expect?
Dakovo-Croatia score 2.3 and concede 0.9 goals per match over their last 15; Kustosija score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dakovo-Croatia | 2.3 | 0.9 | 5 | 8/15 | 9/15 |
| Kustosija | 1.7 | 1.5 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dakovo-Croatia sit 16th in Second NL (25 points from 30 matches) and Kustosija sit 2nd (59 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kustosija | 30 | 17 | 8 | 5 | 55 | 23 | 59 |
| 16 | Dakovo-Croatia | 30 | 7 | 4 | 19 | 30 | 56 | 25 |
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