Goražde vs Čapljina: result 1-0 and analysis
1st League - FBiHRegular Season - 13Kick-off on October 29, 2016 at 11:30 AM (UTC)Stadion Midhat Drljević, Goražde
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What was the result of Goražde vs Čapljina?
Goražde won 1-0 on October 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Goražde have 4 wins, 4 draws and 7 defeats; Čapljina have 3, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2016 | Zeljeznicar Sarajevo(home) | 0-3 | Cup |
| Oct 23, 2016 | Sloga(away) | 1-1 | 1st League - FBiH |
| Oct 19, 2016 | Zeljeznicar Sarajevo(away) | 1-5 | Cup |
| Oct 16, 2016 | Novi Travnik(away) | 0-2 | 1st League - FBiH |
| Oct 8, 2016 | Velež(home) | 0-0 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Novi Travnik(home) | 3-0 | 1st League - FBiH |
| Oct 15, 2016 | Velež(away) | 1-1 | 1st League - FBiH |
| Oct 8, 2016 | Orašje(home) | 1-1 | 1st League - FBiH |
| Oct 1, 2016 | Budućnost Banovići(away) | 2-0 | 1st League - FBiH |
| Sep 24, 2016 | Rudar Kakanj(home) | 2-2 | 1st League - FBiH |
How many goals should we expect?
Goražde score 0.9 and concede 1.6 goals per match over their last 15; Čapljina score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Goražde | 0.9 | 1.6 | 3 | 7/15 | 6/15 |
| Čapljina | 1.0 | 1.3 | 3 | 5/13 | 4/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Čapljina | 9 | 2 | 1 | 6 | 9 | 19 | 7 |
A question about Goražde vs Čapljina?
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