Borac Šamac vs Kozara Gradiška: result 2-2 and analysis
1st League - RSRegular Season - 9Kick-off on October 1, 2016 at 01:30 PM (UTC)Gradski Stadion, Šamac
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What was the result of Borac Šamac vs Kozara Gradiška?
Borac Šamac and Kozara Gradiška drew 2-2 on October 1, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Borac Šamac have 1 win, 1 draw and 6 defeats; Kozara Gradiška have 3, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Borac Banja Luka(away) | 1-2 | 1st League - RS |
| Sep 17, 2016 | Zvijezda 09(home) | 2-3 | 1st League - RS |
| Sep 10, 2016 | Drina Zvornik(away) | 0-1 | 1st League - RS |
| Sep 3, 2016 | Sutjeska Foča(home) | 2-0 | 1st League - RS |
| Aug 27, 2016 | Slavija(away) | 1-6 | 1st League - RS |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Rudar Prijedor(home) | 0-0 | 1st League - RS |
| Sep 21, 2016 | Olimpik Sarajevo(home) | 0-0 | Cup |
| Sep 17, 2016 | Tekstilac Derventa(away) | 0-1 | 1st League - RS |
| Sep 10, 2016 | Podrinje Janja(home) | 2-1 | 1st League - RS |
| Sep 3, 2016 | Sloga Doboj(away) | 0-1 | 1st League - RS |
How many goals should we expect?
Borac Šamac score 0.9 and concede 2.1 goals per match over their last 8; Kozara Gradiška score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borac Šamac | 0.9 | 2.1 | 2 | 4/8 | 4/8 |
| Kozara Gradiška | 0.9 | 0.8 | 4 | 2/9 | 3/9 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kozara Gradiška | 29 | 11 | 1 | 3 | 28 | 34 | 40 |
A question about Borac Šamac vs Kozara Gradiška?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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