Araz vs Qabala: prediction and stats
Premyer LiqaRegular Season - 10Kick-off on October 29, 2014 at 12:00 AM (UTC)İbrahimxəlil Axundlu adına Naxçıvan şəhər stadionu, Nakchivan
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Araz have 10 wins, 4 draws and 1 defeat; Qabala have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2014 | Mingəçevir(home) | 9-0 | Birinci Dasta |
| May 7, 2014 | Imisli FK(home) | 3-0 | Birinci Dasta |
| May 2, 2014 | Şəmkir(away) | 2-1 | Birinci Dasta |
| Apr 27, 2014 | Karvan(away) | 3-1 | Birinci Dasta |
| Apr 19, 2014 | Göyəzən(home) | 4-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2014 | Sumqayıt(home) | 3-1 | Premyer Liqa |
| Oct 17, 2014 | Qarabag(away) | 0-2 | Premyer Liqa |
| Sep 28, 2014 | Khazar Lankaran(home) | 1-1 | Premyer Liqa |
| Sep 21, 2014 | Neftchi Baku(home) | 0-0 | Premyer Liqa |
| Sep 13, 2014 | Simurq(away) | 2-1 | Premyer Liqa |
How many goals should we expect?
Araz score 2.2 and concede 0.5 goals per match over their last 15; Qabala score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Araz | 2.2 | 0.5 | 8 | 6/15 | 7/15 |
| Qabala | 1.3 | 1.4 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Araz sit 12th in Premyer Liqa (2 points from 7 matches) and Qabala sit 9th (4 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Qabala | 7 | 1 | 1 | 5 | 3 | 11 | 4 |
| 12 | Araz | 7 | 0 | 2 | 5 | 5 | 15 | 2 |
A question about Araz vs Qabala?
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