Kapaz II vs MOIK: result 4-0 and analysis
Birinci DastaRegular Season - 20Kick-off on March 7, 2023 at 11:00 AM (UTC)
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What was the result of Kapaz II vs MOIK?
Kapaz II won 4-0 on March 7, 2023.
Goalscorers
- 38′E. CəfərovKapaz II
- 42′?Kapaz II
- 54′?Kapaz II
- 76′?Kapaz II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kapaz II have 9 wins, 1 draws and 5 defeats; MOIK have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2023 | Araz(away) | 0-4 | Birinci Dasta |
| Feb 21, 2023 | FK Qəbələ II(home) | 1-2 | Birinci Dasta |
| Feb 15, 2023 | Turan II(home) | 1-0 | Birinci Dasta |
| Feb 7, 2023 | Zira II(home) | 1-0 | Birinci Dasta |
| Dec 17, 2022 | Sumqayıt II(home) | 3-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2023 | Keşlə II(home) | 4-2 | Birinci Dasta |
| Feb 21, 2023 | Imisli FK(away) | 2-0 | Birinci Dasta |
| Feb 14, 2023 | Qarabağ II(home) | 3-0 | Birinci Dasta |
| Feb 8, 2023 | Zaqatala(away) | 2-2 | Birinci Dasta |
| Dec 16, 2022 | Neftçi II(away) | 2-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 1 meetings: 0 Kapaz II win(s), 0 draw(s), 1 MOIK win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2022 | MOIK 2-1 Kapaz II | Birinci Dasta |
How many goals should we expect?
Kapaz II score 1.6 and concede 1.2 goals per match over their last 15; MOIK score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kapaz II | 1.6 | 1.2 | 4 | 9/15 | 10/15 |
| MOIK | 1.9 | 1.9 | 2 | 10/15 | 13/15 |
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