Göyəzən vs Ağsu: result 0-2 and analysis
Birinci DastaRegular Season - 2Kick-off on September 12, 2014 at 12:30 PM (UTC)Qazax şəhər stadionu, Qazax
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What was the result of Göyəzən vs Ağsu?
Ağsu won 0-2 on September 12, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Göyəzən have 3 wins, 1 draw and 11 defeats; Ağsu have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Imisli FK(away) | 3-0 | Birinci Dasta |
| May 18, 2014 | Şuşa(home) | 2-1 | Birinci Dasta |
| May 11, 2014 | Şəmkir(home) | 0-1 | Birinci Dasta |
| May 3, 2014 | Turan(away) | 0-3 | Birinci Dasta |
| Apr 27, 2014 | Imisli FK(home) | 0-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2014 | Neftçala(home) | 1-4 | Birinci Dasta |
| May 18, 2014 | Şəmkir(away) | 1-1 | Birinci Dasta |
| May 11, 2014 | Şahdağ(away) | 1-1 | Birinci Dasta |
| May 4, 2014 | Lokomotiv-Biləcəri(home) | 5-0 | Birinci Dasta |
| Apr 27, 2014 | MOIK(away) | 3-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 4 meetings: 0 Göyəzən wins, 0 draws, 4 Ağsu wins.
| Date | Score | Competition |
|---|---|---|
| Apr 5, 2014 | Göyəzən 1-6 Ağsu | Birinci Dasta |
| Dec 15, 2013 | Ağsu 5-0 Göyəzən | Birinci Dasta |
| Mar 16, 2013 | Göyəzən 0-2 Ağsu | Birinci Dasta |
| Oct 6, 2012 | Ağsu 6-1 Göyəzən | Birinci Dasta |
How many goals should we expect?
Göyəzən score 0.7 and concede 2.7 goals per match over their last 15; Ağsu score 2.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Göyəzən | 0.7 | 2.7 | 1 | 5/15 | 12/15 |
| Ağsu | 2.4 | 0.9 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Göyəzən vs Ağsu?
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