Qabala vs Səbail: result 3-1 and analysis
Premyer LiqaRegular Season - 11Kick-off on November 4, 2017 at 12:00 PM (UTC)Şəhər stadionu, Qəbələ
Full time
What was the result of Qabala vs Səbail?
Qabala won 3-1 on November 4, 2017.
Goalscorers
- 16′Famoussa KoneQabala
- 29′B. DaboQabala
- 83′B. DaboQabala
- 88′E. YaqubluSəbail
What is the recent form of both teams?
Over their last 15 matches in all competitions, Qabala have 7 wins, 2 draws and 6 defeats; Səbail 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 |
|---|---|---|---|
| Oct 28, 2017 | Zira(away) | 1-2 | Premyer Liqa |
| Oct 22, 2017 | Qarabag(home) | 1-0 | Premyer Liqa |
| Oct 14, 2017 | Sumqayıt(away) | 1-0 | Premyer Liqa |
| Sep 29, 2017 | Kapaz(home) | 0-2 | Premyer Liqa |
| Sep 24, 2017 | Neftchi Baku(home) | 2-1 | Premyer Liqa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2017 | Qarabag(away) | 0-1 | Premyer Liqa |
| Oct 20, 2017 | Şamaxı FK(home) | 1-0 | Premyer Liqa |
| Oct 15, 2017 | Neftchi Baku(home) | 0-4 | Premyer Liqa |
| Sep 30, 2017 | Sumqayıt(home) | 0-2 | Premyer Liqa |
| Sep 23, 2017 | Kapaz(home) | 1-0 | Premyer Liqa |
What does the head-to-head say?
Across the last 1 meetings: 1 Qabala win(s), 0 draw(s), 0 Səbail win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2017 | Səbail 1-3 Qabala | Premyer Liqa |
How many goals should we expect?
Qabala score 1.1 and concede 1.1 goals per match over their last 15; Səbail score 1.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Qabala | 1.1 | 1.1 | 4 | 8/15 | 6/15 |
| Səbail | 1.6 | 1.0 | 7 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Qabala | 2 | 0 | 0 | 2 | 0 | 2 | 0 |
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