GOŠK Gabela vs Gradina: result 6-1 and analysis
1st League - FBiHFBiH - 8Kick-off on October 3, 2021 at 01:30 PM (UTC)Stadion Perica-Pero Pavlović, Gabela
Full time
What was the result of GOŠK Gabela vs Gradina?
GOŠK Gabela won 6-1 on October 3, 2021.
Goalscorers
- 4′?Gradina
- 12′?GOŠK Gabela
- 17′?GOŠK Gabela
- 32′?GOŠK Gabela
- 44′?GOŠK Gabela
- 77′?GOŠK Gabela
- 87′?GOŠK Gabela
What is the recent form of both teams?
Over their last 15 matches in all competitions, GOŠK Gabela have 7 wins, 5 draws and 3 defeats; Gradina have 4, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2021 | Ljubić Prnjavor(away) | 0-1 | Cup |
| Sep 26, 2021 | TOŠK Tešanj(away) | 2-0 | 1st League - FBiH |
| Sep 19, 2021 | Radnik Hadžići(home) | 2-0 | 1st League - FBiH |
| Sep 11, 2021 | Tomislav(away) | 1-0 | 1st League - FBiH |
| Sep 5, 2021 | Jedinstvo Bihać(home) | 2-1 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2021 | Tuzla City(home) | 2-4 | Cup |
| Sep 25, 2021 | Travnik(home) | 4-3 | 1st League - FBiH |
| Sep 18, 2021 | Goražde(away) | 1-2 | 1st League - FBiH |
| Sep 11, 2021 | Mladost Doboj Kakanj(home) | 4-3 | 1st League - FBiH |
| Sep 5, 2021 | Zvijezda Gradačac(away) | 0-2 | 1st League - FBiH |
How many goals should we expect?
GOŠK Gabela score 1.9 and concede 1.0 goals per match over their last 15; Gradina score 2.4 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GOŠK Gabela | 1.9 | 1.0 | 5 | 8/15 | 6/15 |
| Gradina | 2.4 | 2.1 | 1 | 5/8 | 6/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | GOŠK Gabela | 9 | 5 | 1 | 3 | 13 | 8 | 16 |
A question about GOŠK Gabela vs Gradina?
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