Ağsu vs Şahdağ: result 1-0 and analysis
Birinci DastaRegular Season - 3Kick-off on September 29, 2013 at 11:00 AM (UTC)Ağsu şəhər stadionu, Ağsu
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What was the result of Ağsu vs Şahdağ?
Ağsu won 1-0 on September 29, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ağsu have 13 wins, 1 draw and 1 defeat; Şahdağ have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2013 | Lokomotiv-Biləcəri(away) | 1-0 | Birinci Dasta |
| Sep 15, 2013 | Kapaz(home) | 0-5 | Birinci Dasta |
| May 18, 2013 | Şahdağ(away) | 3-2 | Birinci Dasta |
| May 11, 2013 | MOIK(home) | 0-0 | Birinci Dasta |
| May 5, 2013 | Lokomotiv-Biləcəri(away) | 3-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2013 | Mingəçevir(home) | 5-0 | Birinci Dasta |
| Sep 14, 2013 | Şuşa(away) | 0-0 | Birinci Dasta |
| May 18, 2013 | Ağsu(home) | 2-3 | Birinci Dasta |
| May 11, 2013 | Göyəzən(away) | 2-2 | Birinci Dasta |
| May 4, 2013 | Şuşa(home) | 2-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 2 Ağsu wins, 0 draws, 0 Şahdağ wins.
| Date | Score | Competition |
|---|---|---|
| May 18, 2013 | Şahdağ 2-3 Ağsu | Birinci Dasta |
| Sep 9, 2012 | Ağsu 4-1 Şahdağ | Birinci Dasta |
How many goals should we expect?
Ağsu score 2.4 and concede 0.9 goals per match over their last 15; Şahdağ score 1.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ağsu | 2.4 | 0.9 | 9 | 5/15 | 9/15 |
| Şahdağ | 1.8 | 0.9 | 6 | 8/15 | 7/15 |
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 Ağsu vs Şahdağ?
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