Ağsu vs Bakılı: result 7-0 and analysis
Birinci DastaRegular Season - 14Kick-off on February 27, 2017 at 11:00 AM (UTC)Ağsu şəhər stadionu, Ağsu
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What was the result of Ağsu vs Bakılı?
Ağsu won 7-0 on February 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ağsu have 8 wins, 2 draws and 5 defeats; Bakılı have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2017 | Qaradağ Lökbatan(away) | 0-3 | Birinci Dasta |
| Feb 16, 2017 | MOIK(home) | 1-0 | Birinci Dasta |
| Feb 10, 2017 | Imisli FK(away) | 0-2 | Birinci Dasta |
| Nov 25, 2016 | Şəmkir(home) | 2-1 | Birinci Dasta |
| Nov 18, 2016 | Zaqatala(away) | 1-3 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2017 | Rəvan(home) | 1-5 | Birinci Dasta |
| Feb 10, 2017 | Şərurspor(home) | 0-1 | Birinci Dasta |
| Nov 24, 2016 | Səbail(away) | 3-11 | Birinci Dasta |
| Nov 18, 2016 | Mingəçevir(home) | 2-4 | Birinci Dasta |
| Nov 13, 2016 | Göyəzən(away) | 0-2 | Birinci Dasta |
What does the head-to-head say?
Across the last 6 meetings: 4 Ağsu wins, 1 draw, 1 Bakılı win.
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2016 | Bakılı 0-0 Ağsu | Birinci Dasta |
| Apr 7, 2016 | Ağsu 1-0 Bakılı | Birinci Dasta |
| Nov 13, 2015 | Bakılı 2-1 Ağsu | Birinci Dasta |
| Apr 3, 2015 | Ağsu 7-1 Bakılı | Birinci Dasta |
| Nov 6, 2014 | Bakılı 0-2 Ağsu | Birinci Dasta |
| Apr 20, 2014 | Ağsu 2-1 Bakılı | Birinci Dasta |
How many goals should we expect?
Ağsu score 1.9 and concede 1.1 goals per match over their last 15; Bakılı score 1.3 and concede 4.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ağsu | 1.9 | 1.1 | 5 | 6/15 | 8/15 |
| Bakılı | 1.3 | 4.1 | 0 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Ağsu vs Bakılı?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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