Sloga vs GOŠK Gabela: result 2-0 and analysis
1st League - FBiHRegular Season - 22Kick-off on April 15, 2017 at 02:30 PM (UTC)
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What was the result of Sloga vs GOŠK Gabela?
Sloga won 2-0 on April 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sloga have 9 wins, 2 draws and 4 defeats; GOŠK Gabela have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Orašje(away) | 3-0 | 1st League - FBiH |
| Apr 2, 2017 | Zvijezda Gradačac(home) | 1-0 | 1st League - FBiH |
| Mar 26, 2017 | Budućnost Banovići(away) | 0-0 | 1st League - FBiH |
| Mar 19, 2017 | Bosna Visoko(home) | 2-1 | 1st League - FBiH |
| Mar 11, 2017 | Rudar Kakanj(away) | 0-2 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2017 | Zvijezda Gradačac(home) | 1-0 | 1st League - FBiH |
| Apr 1, 2017 | Bosna Visoko(away) | 0-0 | 1st League - FBiH |
| Mar 26, 2017 | Bosna Sema(home) | 2-0 | 1st League - FBiH |
| Mar 18, 2017 | Čapljina(away) | 0-2 | 1st League - FBiH |
| Mar 12, 2017 | Goražde(home) | 2-0 | 1st League - FBiH |
What does the head-to-head say?
In the last meeting: 1 Sloga win, 0 draws, 0 GOŠK Gabela wins.
| Date | Score | Competition |
|---|---|---|
| Sep 18, 2016 | GOŠK Gabela 2-3 Sloga | 1st League - FBiH |
How many goals should we expect?
Sloga score 1.6 and concede 1.0 goals per match over their last 15; GOŠK Gabela score 1.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sloga | 1.6 | 1.0 | 5 | 6/15 | 7/15 |
| GOŠK Gabela | 1.6 | 0.6 | 8 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | GOŠK Gabela | 8 | 5 | 1 | 2 | 12 | 6 | 16 |
A question about Sloga vs GOŠK Gabela?
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