Mingəçevir vs Qarabağ II: result 0-4 and analysis
Birinci DastaRegular Season - 3Kick-off on September 7, 2022 at 12:30 PM (UTC)Yaşar Məmmədzadə adına şəhər stadionu, Mingəçevir
Full time
What was the result of Mingəçevir vs Qarabağ II?
Qarabağ II won 0-4 on September 7, 2022.
Goalscorers
- 23′?Qarabağ II
- 38′?Qarabağ II
- 63′?Qarabağ II
- 78′?Qarabağ II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mingəçevir have 4 wins, 3 draws and 8 defeats; Qarabağ II have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2022 | Zaqatala(away) | 1-2 | Birinci Dasta |
| Aug 25, 2022 | Neftçi II(home) | 4-1 | Birinci Dasta |
| Apr 27, 2017 | Imisli FK(away) | 1-8 | Birinci Dasta |
| Apr 21, 2017 | Bakılı(home) | 1-1 | Birinci Dasta |
| Apr 14, 2017 | Şəmkir(away) | 1-5 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2022 | MOIK(home) | 0-0 | Birinci Dasta |
| Aug 24, 2022 | Araz(away) | 1-5 | Birinci Dasta |
| May 17, 2022 | Qaradağ Lökbatan(home) | 0-0 | Birinci Dasta |
| May 11, 2022 | FK Qəbələ II(away) | 2-0 | Birinci Dasta |
| May 2, 2022 | Sabah II(home) | 0-0 | Birinci Dasta |
How many goals should we expect?
Mingəçevir score 1.3 and concede 2.7 goals per match over their last 15; Qarabağ II score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mingəçevir | 1.3 | 2.7 | 4 | 7/15 | 11/15 |
| Qarabağ II | 1.2 | 0.9 | 7 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Mingəçevir | 5 | 0 | 1 | 4 | 4 | 14 | 1 |
A question about Mingəçevir vs Qarabağ II?
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