Bratstvo Gračanica vs Sloga: result 1-0 and analysis
1st League - FBiHRegular Season - 13Kick-off on October 29, 2016 at 11:30 AM (UTC)Gradski stadion Luke, Gračanica
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What was the result of Bratstvo Gračanica vs Sloga?
Bratstvo Gračanica won 1-0 on October 29, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Bratstvo Gračanica have 6 wins, 4 draws and 3 defeats; Sloga have 4, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Jedinstvo Bihać(away) | 0-1 | 1st League - FBiH |
| Oct 15, 2016 | Travnik(home) | 2-2 | 1st League - FBiH |
| Oct 9, 2016 | GOŠK Gabela(away) | 2-1 | 1st League - FBiH |
| Oct 1, 2016 | Zvijezda Gradačac(home) | 3-0 | 1st League - FBiH |
| Sep 24, 2016 | Bosna Visoko(away) | 0-0 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | Goražde(home) | 1-1 | 1st League - FBiH |
| Oct 15, 2016 | Jedinstvo Bihać(away) | 0-2 | 1st League - FBiH |
| Oct 9, 2016 | Novi Travnik(home) | 2-0 | 1st League - FBiH |
| Oct 3, 2016 | Travnik(away) | 0-2 | 1st League - FBiH |
| Sep 25, 2016 | Velež(home) | 3-1 | 1st League - FBiH |
How many goals should we expect?
Bratstvo Gračanica score 1.4 and concede 0.8 goals per match over their last 13; Sloga score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bratstvo Gračanica | 1.4 | 0.8 | 6 | 5/13 | 4/13 |
| Sloga | 1.1 | 1.6 | 2 | 6/12 | 5/12 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Bratstvo Gračanica | 11 | 3 | 5 | 3 | 13 | 15 | 14 |
A question about Bratstvo Gračanica vs Sloga?
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