Iskra vs Čapljina: result 1-2 and analysis
1st League - FBiHRegular Season - 8Kick-off on September 23, 2017 at 01:30 PM (UTC)Stadion Jaklić, Bugojno
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What was the result of Iskra vs Čapljina?
Čapljina won 1-2 on September 23, 2017.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Iskra have 3 wins, 0 draws and 4 defeats; Čapljina have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Velež(away) | 0-3 | 1st League - FBiH |
| Sep 9, 2017 | Rudar Kakanj(home) | 1-0 | 1st League - FBiH |
| Sep 3, 2017 | Slaven Živinice(home) | 0-3 | 1st League - FBiH |
| Aug 26, 2017 | Bosna Visoko(away) | 0-2 | 1st League - FBiH |
| Aug 19, 2017 | Travnik(home) | 1-0 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Bosna Visoko(home) | 1-1 | 1st League - FBiH |
| Sep 9, 2017 | Travnik(away) | 1-0 | 1st League - FBiH |
| Sep 3, 2017 | Orašje(home) | 3-0 | 1st League - FBiH |
| Aug 26, 2017 | TOŠK Tešanj(away) | 1-4 | 1st League - FBiH |
| Aug 19, 2017 | Bratstvo Gračanica(home) | 3-3 | 1st League - FBiH |
How many goals should we expect?
Iskra score 0.6 and concede 1.4 goals per match over their last 7; Čapljina score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iskra | 0.6 | 1.4 | 2 | 1/7 | 3/7 |
| Čapljina | 1.3 | 1.0 | 7 | 6/15 | 6/15 |
Over the last 7 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 Iskra 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