Grobničan Čavle vs Kustosija: result 5-3 and analysis
Second NLRegular Season - 8Kick-off on October 7, 2023 at 01:00 PM (UTC)Stadion Adelija Haramija Beba, Čavle
Full time
What was the result of Grobničan Čavle vs Kustosija?
Grobničan Čavle won 5-3 on October 7, 2023.
Goalscorers
- 24′?Grobničan Čavle
- 38′J. MarkeloKustosija
- 48′?Grobničan Čavle (pen.)
- 51′M. OršolićKustosija
- 53′?Grobničan Čavle
- 56′?Grobničan Čavle
- 64′M. OršolićKustosija
- 73′?Grobničan Čavle
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grobničan Čavle have 6 wins, 6 draws and 3 defeats; Kustosija have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2023 | Jadran Poreč(away) | 2-2 | Second NL |
| Sep 26, 2023 | NK Varazdin(home) | 0-0 | Cup |
| Sep 22, 2023 | Bjelovar(home) | 3-3 | Second NL |
| Sep 16, 2023 | Karlovac 1919(away) | 1-2 | Second NL |
| Sep 8, 2023 | Hrvace(home) | 4-0 | Second NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2023 | Krk(home) | 3-0 | Second NL |
| Sep 23, 2023 | Jadran LP(away) | 1-3 | Second NL |
| Sep 16, 2023 | Trnje(home) | 4-0 | Second NL |
| Sep 9, 2023 | Mladost Ždralovi(away) | 0-0 | Second NL |
| Sep 2, 2023 | Križevci(home) | 1-1 | Second NL |
How many goals should we expect?
Grobničan Čavle score 3.8 and concede 1.4 goals per match over their last 15; Kustosija score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grobničan Čavle | 3.8 | 1.4 | 5 | 10/15 | 12/15 |
| Kustosija | 1.3 | 1.1 | 5 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Grobničan Čavle | 11 | 3 | 3 | 5 | 16 | 23 | 12 |
A question about Grobničan Čavle vs Kustosija?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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