Şahdağ vs MKT Araz: result 2-1 and analysis
Birinci DastaRegular Season - 21Kick-off on March 17, 2012 at 10:00 AM (UTC)Şövkət Orduxanov adına stadionu, Gusar
Full time
What was the result of Şahdağ vs MKT Araz?
Şahdağ won 2-1 on March 17, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Şahdağ have 8 wins, 1 draw and 6 defeats; MKT Araz have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2012 | Şuşa(away) | 2-3 | Birinci Dasta |
| Feb 25, 2012 | Lokomotiv-Biləcəri(home) | 2-0 | Birinci Dasta |
| Dec 17, 2011 | Göyəzən(away) | 5-1 | Birinci Dasta |
| Dec 14, 2011 | Bakılı(away) | 1-2 | Birinci Dasta |
| Dec 10, 2011 | Şəmkir(home) | 1-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2012 | Taraggi(home) | 2-1 | Birinci Dasta |
| Mar 3, 2012 | Mugan(away) | 1-2 | Birinci Dasta |
| Feb 25, 2012 | MOIK(home) | 4-2 | Birinci Dasta |
| Dec 18, 2011 | Mingəçevir(away) | 0-0 | Birinci Dasta |
| Dec 11, 2011 | Neftçala(home) | 1-0 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Şahdağ wins, 0 draws, 1 MKT Araz win.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2011 | MKT Araz 3-2 Şahdağ | Birinci Dasta |
How many goals should we expect?
Şahdağ score 1.8 and concede 1.3 goals per match over their last 15; MKT Araz score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Şahdağ | 1.8 | 1.3 | 3 | 10/15 | 9/15 |
| MKT Araz | 1.6 | 1.7 | 4 | 8/15 | 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 MKT Araz?
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