Şahdağ vs Ağsu: result 2-3 and analysis
Birinci DastaRegular Season - 26Kick-off on May 18, 2013 at 12:00 PM (UTC)Şövkət Orduxanov adına stadionu, Gusar
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What was the result of Şahdağ vs Ağsu?
Ağsu won 2-3 on May 18, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Şahdağ have 7 wins, 5 draws and 3 defeats; Ağsu have 13, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | Göyəzən(away) | 2-2 | Birinci Dasta |
| May 4, 2013 | Şuşa(home) | 2-0 | Birinci Dasta |
| Apr 30, 2013 | Qaradağ Lökbatan(away) | 0-2 | Birinci Dasta |
| Apr 13, 2013 | Neftçala(away) | 2-1 | Birinci Dasta |
| Apr 6, 2013 | MOIK(away) | 2-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | MOIK(home) | 0-0 | Birinci Dasta |
| May 5, 2013 | Lokomotiv-Biləcəri(away) | 3-2 | Birinci Dasta |
| Apr 28, 2013 | Qala(home) | 2-0 | Birinci Dasta |
| Apr 20, 2013 | Mingəçevir(away) | 2-0 | Birinci Dasta |
| Apr 14, 2013 | Bakılı(home) | 2-1 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Şahdağ wins, 0 draws, 1 Ağsu win.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2012 | Ağsu 4-1 Şahdağ | Birinci Dasta |
How many goals should we expect?
Şahdağ score 1.5 and concede 1.1 goals per match over their last 15; Ağsu score 2.7 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Şahdağ | 1.5 | 1.1 | 5 | 9/15 | 7/15 |
| Ağsu | 2.7 | 0.4 | 11 | 4/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Şahdağ | 4 | 4 | 0 | 0 | 13 | 1 | 12 |
A question about Şahdağ vs Ağsu?
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