Səbail II vs Kapaz: result 1-4 and analysis
Birinci DastaRegular Season - 9Kick-off on November 23, 2021 at 12:00 PM (UTC)ASCO Arena, Baku
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What was the result of Səbail II vs Kapaz?
Kapaz won 1-4 on November 23, 2021.
Goalscorers
- 21′?Kapaz
- 37′?Kapaz
- 58′?Kapaz
- 90′?Səbail II
- 90′?Kapaz
What is the recent form of both teams?
Over their last 15 matches in all competitions, Səbail II have 4 wins, 6 draws and 5 defeats; Kapaz have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2021 | Sumqayıt II(away) | 1-4 | Birinci Dasta |
| Nov 11, 2021 | FK Qəbələ II(home) | 3-1 | Birinci Dasta |
| Nov 2, 2021 | Qarabağ II(home) | 1-1 | Birinci Dasta |
| Oct 26, 2021 | Qaradağ Lökbatan(away) | 0-2 | Birinci Dasta |
| Oct 14, 2021 | Sabah II(away) | 0-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2021 | Turan(home) | 2-1 | Birinci Dasta |
| Nov 2, 2021 | Keşlə II(away) | 0-0 | Birinci Dasta |
| Oct 27, 2021 | Neftçi II(home) | 2-2 | Birinci Dasta |
| Oct 15, 2021 | Sumqayıt II(away) | 2-1 | Birinci Dasta |
| Sep 28, 2021 | Qarabağ II(home) | 4-2 | Birinci Dasta |
What does the head-to-head say?
Across the last 3 meetings: 2 Səbail II wins, 0 draws, 1 Kapaz win.
| Date | Score | Competition |
|---|---|---|
| Nov 8, 2019 | Səbail II 1-0 Kapaz | Birinci Dasta |
| Apr 26, 2019 | Səbail II 2-0 Kapaz | Birinci Dasta |
| Nov 30, 2018 | Kapaz 1-0 Səbail II | Birinci Dasta |
How many goals should we expect?
Səbail II score 0.9 and concede 1.0 goals per match over their last 15; Kapaz score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Səbail II | 0.9 | 1.0 | 6 | 6/15 | 4/15 |
| Kapaz | 1.4 | 1.2 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Səbail II vs Kapaz?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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