Čapljina vs Rudar Kakanj: result 2-2 and analysis
1st League - FBiHRegular Season - 8Kick-off on September 24, 2016 at 01:30 PM (UTC)Stadion Bjelave, Čapljina
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What was the result of Čapljina vs Rudar Kakanj?
Čapljina and Rudar Kakanj drew 2-2 on September 24, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Čapljina have 1 win, 2 draws and 5 defeats; Rudar Kakanj have 5, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Siroki Brijeg(away) | 0-5 | Cup |
| Sep 17, 2016 | Radnički Lukavac(away) | 0-1 | 1st League - FBiH |
| Sep 10, 2016 | Bratstvo Gračanica(home) | 1-1 | 1st League - FBiH |
| Sep 3, 2016 | Jedinstvo Bihać(away) | 0-1 | 1st League - FBiH |
| Aug 27, 2016 | Travnik(home) | 3-1 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Sloboda Novi Grad(home) | 5-1 | Cup |
| Sep 18, 2016 | Goražde(home) | 1-1 | 1st League - FBiH |
| Sep 11, 2016 | Novi Travnik(away) | 1-1 | 1st League - FBiH |
| Sep 3, 2016 | Velež(home) | 4-0 | 1st League - FBiH |
| Aug 27, 2016 | Orašje(away) | 0-0 | 1st League - FBiH |
How many goals should we expect?
Čapljina score 0.5 and concede 1.6 goals per match over their last 8; Rudar Kakanj score 1.9 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Čapljina | 0.5 | 1.6 | 1 | 2/8 | 2/8 |
| Rudar Kakanj | 1.9 | 0.4 | 5 | 3/8 | 2/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Čapljina sit 15th in 1st League - FBiH (8 points from 11 matches) and Rudar Kakanj sit 14th (8 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Rudar Kakanj | 11 | 2 | 2 | 7 | 7 | 19 | 8 |
| 15 | Čapljina | 11 | 2 | 2 | 7 | 11 | 24 | 8 |
A question about Čapljina vs Rudar Kakanj?
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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