Rudar Kakanj vs Travnik: result 1-2 and analysis
1st League - FBiHRegular Season - 13Kick-off on October 29, 2016 at 11:30 AM (UTC)Stadion Pod Vardom, Kakanj
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What was the result of Rudar Kakanj vs Travnik?
Travnik won 1-2 on October 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rudar Kakanj have 6 wins, 4 draws and 5 defeats; Travnik have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2016 | Radnik Bijeljina(away) | 1-5 | Cup |
| Oct 23, 2016 | GOŠK Gabela(away) | 0-2 | 1st League - FBiH |
| Oct 19, 2016 | Radnik Bijeljina(home) | 0-1 | Cup |
| Oct 15, 2016 | Zvijezda Gradačac(home) | 0-1 | 1st League - FBiH |
| Oct 8, 2016 | Bosna Visoko(away) | 1-2 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2016 | Orašje(home) | 3-1 | Cup |
| Oct 22, 2016 | Radnički Lukavac(home) | 4-0 | 1st League - FBiH |
| Oct 18, 2016 | Orašje(away) | 1-1 | Cup |
| Oct 15, 2016 | Bratstvo Gračanica(away) | 2-2 | 1st League - FBiH |
| Oct 8, 2016 | Jedinstvo Bihać(home) | 1-0 | 1st League - FBiH |
How many goals should we expect?
Rudar Kakanj score 1.4 and concede 1.1 goals per match over their last 15; Travnik score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudar Kakanj | 1.4 | 1.1 | 5 | 7/15 | 6/15 |
| Travnik | 1.8 | 1.1 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Rudar Kakanj sit 14th in 1st League - FBiH (8 points from 11 matches) and Travnik sit 2nd (25 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Travnik | 11 | 8 | 1 | 2 | 20 | 8 | 25 |
| 14 | Rudar Kakanj | 11 | 2 | 2 | 7 | 7 | 19 | 8 |
A question about Rudar Kakanj vs Travnik?
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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