FK Sarajevo vs Krupa na Vrbasu: result 3-2 and analysis
Premijer LigaMatchday 4Kick-off on August 10, 2016 at 03:30 PM (UTC)Olimpijski Stadion Asim Ferhatović Hase, Sarajevo
Full time
What was the result of FK Sarajevo vs Krupa na Vrbasu?
FK Sarajevo won 3-2 on August 10, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, FK Sarajevo have 3 wins, 2 draws and 6 defeats; Krupa na Vrbasu have 1, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Čelik(away) | 1-1 | Premijer Liga |
| Jul 31, 2016 | Zrinjski(home) | 2-0 | Premijer Liga |
| Jul 23, 2016 | Zeljeznicar Sarajevo(away) | 1-1 | Premijer Liga |
| Jul 22, 2015 | Lech Poznan(away) | 0-1 | UEFA Champions League |
| Jul 14, 2015 | Lech Poznan(home) | 0-2 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Radnik Bijeljina(home) | 2-2 | Premijer Liga |
| Jul 30, 2016 | Metalleghe-BSI Jajce(away) | 2-0 | Premijer Liga |
| Jul 24, 2016 | Mladost Doboj Kakanj(home) | 1-1 | Premijer Liga |
How many goals should we expect?
FK Sarajevo score 1.2 and concede 1.8 goals per match over their last 11; Krupa na Vrbasu score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Sarajevo | 1.2 | 1.8 | 1 | 6/11 | 5/11 |
| Krupa na Vrbasu | 1.7 | 1.0 | 1 | 2/3 | 1/3 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | FK Sarajevo | 13 | 5 | 5 | 3 | 10 | 7 | 20 |
A question about FK Sarajevo vs Krupa na Vrbasu?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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