MOIK vs Səbail II: result 0-1 and analysis
Birinci DastaRegular Season - 11Kick-off on November 21, 2019 at 10:30 AM (UTC)Lökbatan OIK stadionu, Lökbatan
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What was the result of MOIK vs Səbail II?
Səbail II won 0-1 on November 21, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MOIK have 7 wins, 3 draws and 5 defeats; Səbail II have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2019 | Zirə II(away) | 2-2 | Birinci Dasta |
| Oct 31, 2019 | Zaqatala(home) | 0-1 | Birinci Dasta |
| Oct 25, 2019 | Qarabağ II(away) | 1-4 | Birinci Dasta |
| Oct 19, 2019 | Sabah II(home) | 0-2 | Birinci Dasta |
| Oct 3, 2019 | Ağsu(away) | 4-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2019 | Kapaz(home) | 1-0 | Birinci Dasta |
| Oct 31, 2019 | Neftçi II(away) | 1-1 | Birinci Dasta |
| Oct 25, 2019 | Qaradağ Lökbatan(home) | 5-0 | Birinci Dasta |
| Oct 4, 2019 | Zirə II(away) | 5-1 | Birinci Dasta |
| Sep 26, 2019 | Zaqatala(home) | 0-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 2 MOIK wins, 0 draws, 0 Səbail II wins.
| Date | Score | Competition |
|---|---|---|
| Mar 13, 2019 | MOIK 2-0 Səbail II | Birinci Dasta |
| Oct 18, 2018 | Səbail II 1-3 MOIK | Birinci Dasta |
How many goals should we expect?
MOIK score 1.5 and concede 1.5 goals per match over their last 15; Səbail II score 2.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MOIK | 1.5 | 1.5 | 4 | 8/15 | 10/15 |
| Səbail II | 2.2 | 1.4 | 4 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | MOIK | 4 | 2 | 1 | 1 | 6 | 2 | 7 |
A question about MOIK vs Səbail 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