Čapljina vs Sloga: result 1-0 and analysis
1st League - FBiHRegular Season - 29Kick-off on May 27, 2017 at 03:30 PM (UTC)Stadion Bjelave, Čapljina
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What was the result of Čapljina vs Sloga?
Čapljina won 1-0 on May 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Čapljina have 8 wins, 2 draws and 5 defeats; Sloga have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2017 | Goražde(home) | 2-1 | 1st League - FBiH |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2017 | Bratstvo Gračanica(home) | 3-1 | 1st League - FBiH |
| May 20, 2017 | Goražde(away) | 0-0 | 1st League - FBiH |
| May 14, 2017 | Jedinstvo Bihać(home) | 5-1 | 1st League - FBiH |
| May 7, 2017 | Novi Travnik(away) | 2-0 | 1st League - FBiH |
| Apr 29, 2017 | Travnik(home) | 1-0 | 1st League - FBiH |
What does the head-to-head say?
In the last meeting: 0 Čapljina wins, 0 draws, 1 Sloga win.
| Date | Score | Competition |
|---|---|---|
| Nov 6, 2016 | Sloga 3-2 Čapljina | 1st League - FBiH |
How many goals should we expect?
Čapljina score 1.3 and concede 0.8 goals per match over their last 15; Sloga score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Čapljina | 1.3 | 0.8 | 7 | 5/15 | 6/15 |
| Sloga | 1.9 | 0.7 | 8 | 5/15 | 8/15 |
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 Sloga?
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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