Budućnost Banovići vs Čapljina: result 0-2 and analysis
1st League - FBiHRegular Season - 9Kick-off on October 1, 2016 at 01:30 PM (UTC)Gradski Stadion, Banovići
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What was the result of Budućnost Banovići vs Čapljina?
Čapljina won 0-2 on October 1, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Budućnost Banovići have 3 wins, 1 draws and 4 defeats; Čapljina have 1, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Goražde(away) | 0-1 | 1st League - FBiH |
| Sep 17, 2016 | Novi Travnik(home) | 3-0 | 1st League - FBiH |
| Sep 10, 2016 | Velež(away) | 2-2 | 1st League - FBiH |
| Sep 3, 2016 | Orašje(home) | 2-1 | 1st League - FBiH |
| Aug 28, 2016 | Sloga(away) | 0-1 | 1st League - FBiH |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Rudar Kakanj(home) | 2-2 | 1st League - FBiH |
| 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 |
How many goals should we expect?
Budućnost Banovići score 1.3 and concede 1.3 goals per match over their last 8; Čapljina score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Budućnost Banovići | 1.3 | 1.3 | 1 | 3/8 | 4/8 |
| Čapljina | 0.7 | 1.7 | 1 | 3/9 | 3/9 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Budućnost Banovići sit 9th in 1st League - FBiH (1 points from 1 matches) and Čapljina sit 8th (1 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Čapljina | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
| 9 | Budućnost Banovići | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
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