Ağsu vs Şəmkir: result 1-1 and analysis
Birinci DastaRegular Season - 16Kick-off on March 6, 2016 at 11:00 AM (UTC)Ağsu şəhər stadionu, Ağsu
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What was the result of Ağsu vs Şəmkir?
Ağsu and Şəmkir drew 1-1 on March 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ağsu have 8 wins, 4 draws and 3 defeats; Şəmkir have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2016 | Turan(away) | 2-1 | Birinci Dasta |
| Feb 19, 2016 | MOIK(home) | 1-0 | Birinci Dasta |
| Dec 18, 2015 | Qaradağ Lökbatan(away) | 3-3 | Birinci Dasta |
| Dec 13, 2015 | Neftçala(home) | 1-1 | Birinci Dasta |
| Nov 26, 2015 | Şərurspor(away) | 1-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2016 | Şahdağ(home) | 2-2 | Birinci Dasta |
| Feb 19, 2016 | Zaqatala(home) | 1-1 | Birinci Dasta |
| Dec 18, 2015 | MOIK(away) | 1-2 | Birinci Dasta |
| Dec 13, 2015 | Şərurspor(home) | 1-1 | Birinci Dasta |
| Dec 2, 2015 | Qarabag(away) | 0-2 | Cup |
What does the head-to-head say?
Across the last 6 meetings: 3 Ağsu wins, 2 draws, 1 Şəmkir win.
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2015 | Şəmkir 1-0 Ağsu | Birinci Dasta |
| Feb 20, 2015 | Şəmkir 0-2 Ağsu | Birinci Dasta |
| Oct 30, 2014 | Ağsu 5-0 Şəmkir | Birinci Dasta |
| May 18, 2014 | Şəmkir 1-1 Ağsu | Birinci Dasta |
| Nov 30, 2013 | Ağsu 0-0 Şəmkir | Birinci Dasta |
| Apr 6, 2013 | Ağsu 5-0 Şəmkir | Birinci Dasta |
How many goals should we expect?
Ağsu score 1.8 and concede 0.9 goals per match over their last 15; Şəmkir score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ağsu | 1.8 | 0.9 | 5 | 9/15 | 9/15 |
| Şəmkir | 1.1 | 1.1 | 6 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Ağsu vs Şəmkir?
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