Rudar Kakanj vs Igman Konjic: result 1-1 and analysis
1st League - FBiHRegular Season - 10Kick-off on October 8, 2017 at 01:00 PM (UTC)Stadion Pod Vardom, Kakanj
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What was the result of Rudar Kakanj vs Igman Konjic?
Rudar Kakanj and Igman Konjic drew 1-1 on October 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rudar Kakanj have 6 wins, 1 draws and 8 defeats; Igman Konjic have 4, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Čapljina(away) | 1-2 | 1st League - FBiH |
| Sep 23, 2017 | Velež(home) | 1-0 | 1st League - FBiH |
| Sep 16, 2017 | Slaven Živinice(home) | 0-1 | 1st League - FBiH |
| Sep 9, 2017 | Iskra(away) | 0-1 | 1st League - FBiH |
| Sep 3, 2017 | Bosna Visoko(home) | 1-1 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Iskra(home) | 1-0 | 1st League - FBiH |
| Sep 23, 2017 | Bosna Visoko(away) | 1-2 | 1st League - FBiH |
| Sep 16, 2017 | Travnik(home) | 2-0 | 1st League - FBiH |
| Sep 9, 2017 | Orašje(away) | 0-2 | 1st League - FBiH |
| Sep 3, 2017 | TOŠK Tešanj(home) | 2-1 | 1st League - FBiH |
How many goals should we expect?
Rudar Kakanj score 1.1 and concede 1.1 goals per match over their last 15; Igman Konjic score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudar Kakanj | 1.1 | 1.1 | 5 | 7/15 | 7/15 |
| Igman Konjic | 1.0 | 1.2 | 2 | 4/9 | 4/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Rudar Kakanj sit 15th in 1st League - FBiH (0 points from 2 matches) and Igman Konjic sit 10th (1 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Igman Konjic | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
| 15 | Rudar Kakanj | 2 | 0 | 0 | 2 | 0 | 6 | 0 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy