Zvijezda 09 vs Rudar Prijedor: result 0-1 and analysis
1st League - RSMatchday 6Kick-off on September 10, 2016 at 02:30 PM (UTC)Novi Gradski Stadion, Ugljevik
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What was the result of Zvijezda 09 vs Rudar Prijedor?
Rudar Prijedor won 0-1 on September 10, 2016.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Zvijezda 09 have 2 wins, 0 draws and 3 defeats; Rudar Prijedor have 2, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Tekstilac Derventa(away) | 0-1 | 1st League - RS |
| Aug 27, 2016 | Podrinje Janja(home) | 2-1 | 1st League - RS |
| Aug 20, 2016 | Sloga Doboj(away) | 2-5 | 1st League - RS |
| Aug 13, 2016 | Sloboda Mrkonjić Grad(home) | 4-1 | 1st League - RS |
| Aug 6, 2016 | Kozara Gradiška(away) | 0-1 | 1st League - RS |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Drina Zvornik(home) | 1-1 | 1st League - RS |
| Aug 27, 2016 | Sutjeska Foča(away) | 1-1 | 1st League - RS |
| Aug 20, 2016 | Borac Šamac(home) | 3-1 | 1st League - RS |
| Aug 14, 2016 | Slavija(away) | 2-1 | 1st League - RS |
| Aug 6, 2016 | Tekstilac Derventa(away) | 0-2 | 1st League - RS |
How many goals should we expect?
Zvijezda 09 score 1.6 and concede 1.8 goals per match over their last 5; Rudar Prijedor score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zvijezda 09 | 1.6 | 1.8 | 0 | 3/5 | 3/5 |
| Rudar Prijedor | 1.4 | 1.2 | 0 | 4/5 | 2/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Zvijezda 09 | 30 | 12 | 7 | 11 | 40 | 37 | 43 |
A question about Zvijezda 09 vs Rudar Prijedor?
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