GOŠK Gabela vs Rudar Kakanj: result 2-0 and analysis
1st League - FBiHRegular Season - 12Kick-off on October 23, 2016 at 12:30 PM (UTC)Stadion Perica-Pero Pavlović, Gabela
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What was the result of GOŠK Gabela vs Rudar Kakanj?
GOŠK Gabela won 2-0 on October 23, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, GOŠK Gabela have 5 wins, 2 draws and 5 defeats; Rudar Kakanj have 6, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Radnički Lukavac(away) | 1-0 | 1st League - FBiH |
| Oct 9, 2016 | Bratstvo Gračanica(home) | 1-2 | 1st League - FBiH |
| Oct 1, 2016 | Jedinstvo Bihać(away) | 1-1 | 1st League - FBiH |
| Sep 25, 2016 | Travnik(home) | 4-0 | 1st League - FBiH |
| Sep 21, 2016 | Radnik Bijeljina(home) | 0-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2016 | Radnik Bijeljina(home) | 0-1 | Cup |
| Oct 15, 2016 | Zvijezda Gradačac(home) | 0-1 | 1st League - FBiH |
| Oct 8, 2016 | Bosna Visoko(away) | 1-2 | 1st League - FBiH |
| Oct 1, 2016 | Bosna Sema(home) | 2-1 | 1st League - FBiH |
| Sep 24, 2016 | Čapljina(away) | 2-2 | 1st League - FBiH |
How many goals should we expect?
GOŠK Gabela score 1.4 and concede 1.2 goals per match over their last 12; Rudar Kakanj score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GOŠK Gabela | 1.4 | 1.2 | 5 | 5/12 | 5/12 |
| Rudar Kakanj | 1.5 | 0.8 | 5 | 6/13 | 5/13 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
GOŠK Gabela sit 4th in 1st League - FBiH (3 points from 1 matches) and Rudar Kakanj sit 15th (0 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | GOŠK Gabela | 1 | 1 | 0 | 0 | 3 | 0 | 3 |
| 15 | Rudar Kakanj | 2 | 0 | 0 | 2 | 0 | 6 | 0 |
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