FK Qəbələ II vs MOIK: result 0-1 and analysis
Birinci DastaRegular Season - 20Kick-off on April 6, 2022 at 11:00 AM (UTC)
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What was the result of FK Qəbələ II vs MOIK?
MOIK won 0-1 on April 6, 2022.
Goalscorers
- 88′?MOIK
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Qəbələ II have 8 wins, 0 draws and 7 defeats; MOIK have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2022 | Zira II(away) | 1-0 | Birinci Dasta |
| Mar 15, 2022 | Səbail II(home) | 4-0 | Birinci Dasta |
| Mar 8, 2022 | Turan(away) | 3-0 | Birinci Dasta |
| Mar 1, 2022 | Keşlə II(home) | 2-1 | Birinci Dasta |
| Feb 23, 2022 | Neftçi II(away) | 3-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2022 | Sabah II(home) | 0-0 | Birinci Dasta |
| Mar 16, 2022 | Zaqatala(away) | 1-4 | Birinci Dasta |
| Mar 2, 2022 | Zira II(home) | 2-0 | Birinci Dasta |
| Feb 22, 2022 | Səbail II(away) | 1-2 | Birinci Dasta |
| Feb 16, 2022 | Turan(home) | 0-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 1 meetings: 0 FK Qəbələ II win(s), 0 draw(s), 1 MOIK win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2021 | MOIK 3-0 FK Qəbələ II | Birinci Dasta |
How many goals should we expect?
FK Qəbələ II score 1.8 and concede 1.3 goals per match over their last 15; MOIK score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Qəbələ II | 1.8 | 1.3 | 6 | 6/15 | 12/15 |
| MOIK | 1.5 | 1.5 | 6 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | MOIK | 27 | 9 | 6 | 12 | 33 | 40 | 33 |
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