Čapljina vs Bosna Sema: result 3-1 and analysis
1st League - FBiHRegular Season - 15Kick-off on November 12, 2016 at 12:30 PM (UTC)Stadion Bjelave, Čapljina
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What was the result of Čapljina vs Bosna Sema?
Čapljina won 3-1 on November 12, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Čapljina have 3 wins, 5 draws and 7 defeats; Bosna Sema have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | Sloga(away) | 2-3 | 1st League - FBiH |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2016 | Goražde(home) | 0-0 | 1st League - FBiH |
| Oct 30, 2016 | Novi Travnik(away) | 2-1 | 1st League - FBiH |
| Oct 26, 2016 | Radnički Lukavac(away) | 2-3 | Cup |
| Oct 23, 2016 | Velež(home) | 0-1 | 1st League - FBiH |
| Oct 20, 2016 | Radnički Lukavac(home) | 6-0 | Cup |
How many goals should we expect?
Čapljina score 1.0 and concede 1.4 goals per match over their last 15; Bosna Sema score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Čapljina | 1.0 | 1.4 | 3 | 6/15 | 5/15 |
| Bosna Sema | 1.6 | 1.4 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Čapljina | 10 | 2 | 2 | 6 | 10 | 20 | 8 |
A question about Čapljina vs Bosna Sema?
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