MOIK vs Sabah II: result 1-0 and analysis
Birinci DastaRegular Season - 26Kick-off on May 10, 2019 at 12:30 PM (UTC)Binə qəsəbə stadionu, Binə
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What was the result of MOIK vs Sabah II?
MOIK won 1-0 on May 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MOIK have 11 wins, 1 draws and 3 defeats; Sabah II have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Qaradağ Lökbatan(away) | 2-0 | Birinci Dasta |
| Apr 26, 2019 | Zaqatala(home) | 2-1 | Birinci Dasta |
| Apr 17, 2019 | Neftçi II(away) | 1-4 | Birinci Dasta |
| Apr 12, 2019 | Keşlə II(home) | 2-1 | Birinci Dasta |
| Apr 4, 2019 | Qarabağ II(home) | 2-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Qarabağ II(home) | 0-1 | Birinci Dasta |
| Apr 26, 2019 | Ağsu(away) | 1-2 | Birinci Dasta |
| Apr 16, 2019 | Səbail II(home) | 4-1 | Birinci Dasta |
| Apr 11, 2019 | Sumqayıt II(away) | 1-4 | Birinci Dasta |
| Apr 5, 2019 | Şüvəlan(home) | 0-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 1 meetings: 1 MOIK win(s), 0 draw(s), 0 Sabah II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 23, 2018 | Sabah II 0-1 MOIK | Birinci Dasta |
How many goals should we expect?
MOIK score 2.0 and concede 0.9 goals per match over their last 15; Sabah II score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MOIK | 2.0 | 0.9 | 7 | 8/15 | 11/15 |
| Sabah II | 1.4 | 0.9 | 8 | 4/15 | 6/15 |
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