Araz vs Qaradağ Lökbatan: result 2-0 and analysis
Birinci DastaRegular Season - 12Kick-off on December 1, 2022 at 11:00 AM (UTC)İbrahimxəlil Axundlu adına Naxçıvan şəhər stadionu, Nakchivan
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What was the result of Araz vs Qaradağ Lökbatan?
Araz won 2-0 on December 1, 2022.
Goalscorers
- 9′O. ƏliyevAraz
- 67′O. ƏliyevAraz (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Araz have 11 wins, 2 draws and 2 defeats; Qaradağ Lökbatan have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2022 | Qabala(away) | 0-5 | Cup |
| Nov 8, 2022 | Mingəçevir(away) | 0-1 | Birinci Dasta |
| Nov 2, 2022 | MOIK(home) | 3-3 | Birinci Dasta |
| Oct 19, 2022 | FK Qəbələ II(away) | 1-1 | Birinci Dasta |
| Oct 12, 2022 | Turan II(home) | 2-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2022 | Sabah FA(away) | 0-5 | Cup |
| Nov 8, 2022 | FK Qəbələ II(home) | 2-1 | Birinci Dasta |
| Nov 2, 2022 | Turan II(away) | 1-2 | Birinci Dasta |
| Oct 25, 2022 | Zira II(home) | 0-0 | Birinci Dasta |
| Oct 18, 2022 | Sumqayıt II(home) | 0-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 1 Araz win(s), 1 draw(s), 0 Qaradağ Lökbatan win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 30, 2014 | Qaradağ Lökbatan 0-0 Araz | Birinci Dasta |
| Dec 22, 2013 | Araz 1-0 Qaradağ Lökbatan | Birinci Dasta |
Last archived meeting: Qaradağ Lökbatan vs Araz on Mar 30, 2014
How many goals should we expect?
Araz score 2.9 and concede 1.0 goals per match over their last 15; Qaradağ Lökbatan score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Araz | 2.9 | 1.0 | 6 | 7/15 | 12/15 |
| Qaradağ Lökbatan | 1.4 | 1.3 | 6 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy