Čapljina vs Goražde: result 2-1 and analysis
1st League - FBiHRegular Season - 28Kick-off on May 24, 2017 at 03:30 PM (UTC)Stadion Bjelave, Čapljina
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What was the result of Čapljina vs Goražde?
Čapljina won 2-1 on May 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Čapljina have 7 wins, 2 draws and 6 defeats; Goražde have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Novi Travnik(away) | 2-1 | 1st League - FBiH |
| May 13, 2017 | Velež(home) | 1-0 | 1st League - FBiH |
| May 6, 2017 | Orašje(away) | 1-2 | 1st League - FBiH |
| Apr 29, 2017 | Budućnost Banovići(home) | 2-0 | 1st League - FBiH |
| Apr 22, 2017 | Rudar Kakanj(away) | 0-2 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Sloga(home) | 0-0 | 1st League - FBiH |
| May 13, 2017 | Novi Travnik(home) | 3-0 | 1st League - FBiH |
| May 6, 2017 | Velež(away) | 0-4 | 1st League - FBiH |
| Apr 29, 2017 | Orašje(home) | 3-0 | 1st League - FBiH |
| Apr 23, 2017 | Budućnost Banovići(away) | 0-1 | 1st League - FBiH |
What does the head-to-head say?
In the last meeting: 0 Čapljina wins, 0 draws, 1 Goražde win.
| Date | Score | Competition |
|---|---|---|
| Oct 29, 2016 | Goražde 1-0 Čapljina | 1st League - FBiH |
How many goals should we expect?
Čapljina score 1.1 and concede 0.8 goals per match over their last 15; Goražde score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Čapljina | 1.1 | 0.8 | 7 | 4/15 | 5/15 |
| Goražde | 1.1 | 0.9 | 8 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Čapljina | 9 | 2 | 1 | 6 | 9 | 19 | 7 |
A question about Čapljina vs Goražde?
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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