Ağsu vs Bakılı: result 7-1 and analysis
Birinci DastaRegular Season - 22Kick-off on April 3, 2015 at 10:00 AM (UTC)Ağsu şəhər stadionu, Ağsu
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What was the result of Ağsu vs Bakılı?
Ağsu won 7-1 on April 3, 2015.
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 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2015 | Imisli FK(away) | 0-0 | Birinci Dasta |
| Mar 22, 2015 | Şahdağ(home) | 2-1 | Birinci Dasta |
| Mar 17, 2015 | Neftçala(away) | 0-2 | Birinci Dasta |
| Mar 7, 2015 | Zirə(home) | 0-2 | Birinci Dasta |
| Feb 27, 2015 | Qaradağ Lökbatan(home) | 0-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2015 | Rəvan(away) | 1-5 | Birinci Dasta |
| Mar 7, 2015 | MOIK(home) | 0-0 | Birinci Dasta |
| Feb 27, 2015 | Şuşa(away) | 2-1 | Birinci Dasta |
| Feb 21, 2015 | Imisli FK(home) | 2-2 | Birinci Dasta |
| Dec 13, 2014 | Göyəzən(away) | 4-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 5 meetings: 5 Ağsu wins, 0 draws, 0 Bakılı wins.
| Date | Score | Competition |
|---|---|---|
| Nov 6, 2014 | Bakılı 0-2 Ağsu | Birinci Dasta |
| Apr 20, 2014 | Ağsu 2-1 Bakılı | Birinci Dasta |
| Oct 6, 2013 | Bakılı 1-3 Ağsu | Birinci Dasta |
| Apr 14, 2013 | Ağsu 2-1 Bakılı | Birinci Dasta |
| Nov 11, 2012 | Bakılı 2-3 Ağsu | Birinci Dasta |
How many goals should we expect?
Ağsu score 1.7 and concede 0.9 goals per match over their last 15; Bakılı score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ağsu | 1.7 | 0.9 | 7 | 3/15 | 7/15 |
| Bakılı | 1.9 | 1.7 | 4 | 9/15 | 12/15 |
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