Sumqayıt II vs MOIK: result 1-2 and analysis
Birinci DastaRegular Season - 18Kick-off on March 7, 2019 at 11:00 AM (UTC)Mehdi Hüseynzadə adına Sumqayıt şəhər stadionu, Sumqayıt
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What was the result of Sumqayıt II vs MOIK?
MOIK won 1-2 on March 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sumqayıt II have 11 wins, 1 draws and 3 defeats; MOIK have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2019 | Qarabağ II(away) | 3-1 | Birinci Dasta |
| Feb 21, 2019 | Ağsu(home) | 5-0 | Birinci Dasta |
| Feb 15, 2019 | Səbail II(away) | 5-5 | Birinci Dasta |
| Feb 7, 2019 | Keşlə II(home) | 3-0 | Birinci Dasta |
| Dec 10, 2018 | Zirə II(home) | 4-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2019 | Şüvəlan(home) | 1-0 | Birinci Dasta |
| Feb 21, 2019 | Zirə II(away) | 4-2 | Birinci Dasta |
| Feb 15, 2019 | Turan(home) | 3-0 | Birinci Dasta |
| Feb 8, 2019 | Kapaz(away) | 3-0 | Birinci Dasta |
| Dec 10, 2018 | Qaradağ Lökbatan(home) | 1-2 | Birinci Dasta |
What does the head-to-head say?
Across the last 1 meetings: 0 Sumqayıt II win(s), 0 draw(s), 1 MOIK win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2018 | MOIK 3-0 Sumqayıt II | Birinci Dasta |
How many goals should we expect?
Sumqayıt II score 2.6 and concede 1.0 goals per match over their last 15; MOIK score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sumqayıt II | 2.6 | 1.0 | 9 | 5/15 | 11/15 |
| MOIK | 2.1 | 0.9 | 7 | 8/15 | 10/15 |
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