MOIK vs Qarabağ II: result 2-1 and analysis
Birinci DastaRegular Season - 21Kick-off on April 4, 2019 at 11:00 AM (UTC)Binə qəsəbə stadionu, Binə
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What was the result of MOIK vs Qarabağ II?
MOIK won 2-1 on April 4, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MOIK have 11 wins, 2 draws and 2 defeats; Qarabağ II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2019 | Ağsu(away) | 4-0 | Birinci Dasta |
| Mar 13, 2019 | Səbail II(home) | 2-0 | Birinci Dasta |
| Mar 7, 2019 | Sumqayıt II(away) | 2-1 | Birinci Dasta |
| Feb 28, 2019 | Şüvəlan(home) | 1-0 | Birinci Dasta |
| Feb 21, 2019 | Zirə II(away) | 4-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Keşlə II(home) | 1-2 | Birinci Dasta |
| Mar 13, 2019 | Ağsu(home) | 0-0 | Birinci Dasta |
| Mar 7, 2019 | Səbail II(away) | 2-0 | Birinci Dasta |
| Mar 4, 2019 | Zirə II(home) | 4-0 | Birinci Dasta |
| Feb 28, 2019 | Sumqayıt II(home) | 1-3 | Birinci Dasta |
What does the head-to-head say?
Across the last 1 meetings: 1 MOIK win(s), 0 draw(s), 0 Qarabağ II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 2, 2018 | Qarabağ II 1-3 MOIK | Birinci Dasta |
How many goals should we expect?
MOIK score 2.3 and concede 0.8 goals per match over their last 15; Qarabağ II score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MOIK | 2.3 | 0.8 | 7 | 8/15 | 11/15 |
| Qarabağ II | 1.5 | 1.2 | 5 | 9/15 | 9/15 |
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