Göyəzən vs Səbail: result 0-7 and analysis
Birinci DastaRegular Season - 17Kick-off on February 22, 2017 at 11:00 AM (UTC)Qazax şəhər stadionu, Qazax
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What was the result of Göyəzən vs Səbail?
Səbail won 0-7 on February 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Göyəzən have 1 win, 3 draws and 11 defeats; Səbail have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2017 | Mingəçevir(away) | 3-3 | Birinci Dasta |
| Feb 10, 2017 | Turan(home) | 0-4 | Birinci Dasta |
| Nov 24, 2016 | MOIK(home) | 0-5 | Birinci Dasta |
| Nov 17, 2016 | Imisli FK(away) | 2-6 | Birinci Dasta |
| Nov 13, 2016 | Bakılı(home) | 2-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2017 | Qaradağ Lökbatan(home) | 3-1 | Birinci Dasta |
| Feb 11, 2017 | MOIK(away) | 2-0 | Birinci Dasta |
| Dec 3, 2016 | Qarabag(away) | 0-5 | Cup |
| Nov 24, 2016 | Bakılı(home) | 11-3 | Birinci Dasta |
| Nov 17, 2016 | Şəmkir(away) | 0-2 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Göyəzən wins, 0 draws, 1 Səbail win.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2016 | Səbail 6-0 Göyəzən | Birinci Dasta |
How many goals should we expect?
Göyəzən score 0.7 and concede 3.4 goals per match over their last 15; Səbail score 3.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Göyəzən | 0.7 | 3.4 | 2 | 5/15 | 11/15 |
| Səbail | 3.0 | 1.7 | 3 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Səbail | 6 | 3 | 2 | 1 | 8 | 5 | 11 |
A question about Göyəzən vs Səbail?
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