Tekstilac Derventa vs Borac Šamac: result 2-0 and analysis
1st League - RSRegular Season - 13Kick-off on October 29, 2016 at 12:30 PM (UTC)Stadion FK Tekstilac, Derventa
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What was the result of Tekstilac Derventa vs Borac Šamac?
Tekstilac Derventa won 2-0 on October 29, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Tekstilac Derventa have 5 wins, 4 draws and 3 defeats; Borac Šamac have 1, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Rudar Prijedor(away) | 1-1 | 1st League - RS |
| Oct 15, 2016 | Slavija(home) | 1-0 | 1st League - RS |
| Oct 8, 2016 | Podrinje Janja(away) | 0-1 | 1st League - RS |
| Oct 1, 2016 | Sloga Doboj(home) | 1-1 | 1st League - RS |
| Sep 24, 2016 | Sloboda Mrkonjić Grad(away) | 0-0 | 1st League - RS |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Podrinje Janja(home) | 0-3 | 1st League - RS |
| Oct 15, 2016 | Sloga Doboj(home) | 2-2 | 1st League - RS |
| Oct 8, 2016 | Sloboda Mrkonjić Grad(away) | 0-2 | 1st League - RS |
| Oct 1, 2016 | Kozara Gradiška(home) | 2-2 | 1st League - RS |
| Sep 24, 2016 | Borac Banja Luka(away) | 1-2 | 1st League - RS |
What does the head-to-head say?
Across the last 1 meetings: 0 Tekstilac Derventa win(s), 1 draw(s), 0 Borac Šamac win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2016 | Borac Šamac 0-0 Tekstilac Derventa | 1st League - RS |
Last archived meeting: Borac Šamac vs Tekstilac Derventa on Aug 13, 2016
How many goals should we expect?
Tekstilac Derventa score 0.8 and concede 0.6 goals per match over their last 12; Borac Šamac score 0.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tekstilac Derventa | 0.8 | 0.6 | 7 | 3/12 | 1/12 |
| Borac Šamac | 0.9 | 2.2 | 2 | 6/12 | 7/12 |
Over the last 12 matches in all competitions.
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