Sloga vs Čapljina: result 3-2 and analysis
1st League - FBiHRegular Season - 14Kick-off on November 6, 2016 at 12:30 PM (UTC)
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What was the result of Sloga vs Čapljina?
Sloga won 3-2 on November 6, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Sloga have 4 wins, 1 draw and 8 defeats; Čapljina have 3, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Bratstvo Gračanica(away) | 0-1 | 1st League - FBiH |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Goražde(away) | 0-1 | 1st League - FBiH |
| 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 |
How many goals should we expect?
Sloga score 1.0 and concede 1.5 goals per match over their last 13; Čapljina score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sloga | 1.0 | 1.5 | 2 | 6/13 | 5/13 |
| Čapljina | 0.9 | 1.3 | 3 | 5/14 | 4/14 |
Over the last 13 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 Sloga 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