MOIK vs Keşlə II: result 3-2 and analysis
Birinci DastaRegular Season - 3Kick-off on September 13, 2019 at 12:00 PM (UTC)Lökbatan OIK stadionu, Lökbatan
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What was the result of MOIK vs Keşlə II?
MOIK won 3-2 on September 13, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MOIK have 12 wins, 1 draw and 2 defeats; Keşlə II have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2019 | Kapaz(away) | 2-2 | Birinci Dasta |
| May 10, 2019 | Sabah II(home) | 1-0 | Birinci Dasta |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2019 | Kapaz(home) | 2-2 | Birinci Dasta |
| Aug 22, 2019 | Neftçi II(away) | 1-1 | Birinci Dasta |
| May 10, 2019 | Zaqatala(home) | 3-3 | Birinci Dasta |
| May 4, 2019 | Şüvəlan(home) | 1-0 | Birinci Dasta |
| Apr 26, 2019 | Neftçi II(away) | 0-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 2 MOIK wins, 0 draws, 0 Keşlə II wins.
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2019 | MOIK 2-1 Keşlə II | Birinci Dasta |
| Nov 8, 2018 | Keşlə II 2-3 MOIK | Birinci Dasta |
How many goals should we expect?
MOIK score 2.1 and concede 0.9 goals per match over their last 15; Keşlə II score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MOIK | 2.1 | 0.9 | 7 | 8/15 | 11/15 |
| Keşlə II | 1.5 | 1.3 | 4 | 8/15 | 8/15 |
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 Keşlə 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