Čapljina vs Iskra: result 0-2 and analysis
1st League - FBiHRegular Season - 23Kick-off on April 21, 2018 at 02:30 PM (UTC)Stadion Bjelave, Čapljina
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What was the result of Čapljina vs Iskra?
Iskra won 0-2 on April 21, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Čapljina have 6 wins, 3 draws and 6 defeats; Iskra have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | Bosna Visoko(away) | 1-1 | 1st League - FBiH |
| Apr 7, 2018 | Travnik(home) | 1-1 | 1st League - FBiH |
| Apr 4, 2018 | Orašje(away) | 1-3 | 1st League - FBiH |
| Mar 31, 2018 | TOŠK Tešanj(home) | 2-0 | 1st League - FBiH |
| Mar 24, 2018 | Bratstvo Gračanica(away) | 2-3 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | Velež(home) | 0-0 | 1st League - FBiH |
| Apr 7, 2018 | Rudar Kakanj(away) | 0-1 | 1st League - FBiH |
| Apr 4, 2018 | Slaven Živinice(away) | 2-2 | 1st League - FBiH |
| Mar 31, 2018 | Bosna Visoko(home) | 3-1 | 1st League - FBiH |
| Mar 24, 2018 | Travnik(away) | 0-3 | 1st League - FBiH |
What does the head-to-head say?
In the last meeting: 1 Čapljina win, 0 draws, 0 Iskra wins.
| Date | Score | Competition |
|---|---|---|
| Sep 23, 2017 | Iskra 1-2 Čapljina | 1st League - FBiH |
How many goals should we expect?
Čapljina score 1.3 and concede 1.7 goals per match over their last 15; Iskra score 0.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Čapljina | 1.3 | 1.7 | 3 | 9/15 | 9/15 |
| Iskra | 0.9 | 1.6 | 2 | 7/15 | 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 Iskra?
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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