Səbail vs Qabala: result 2-1 and analysis
Premyer LiqaRegular Season - 17Kick-off on February 24, 2018 at 12:00 PM (UTC)ASCO Arena, Baku
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What was the result of Səbail vs Qabala?
Səbail won 2-1 on February 24, 2018.
Goalscorers
- 25′V. VernydubSəbail (o.g.)
- 57′F. MuradbəyliSəbail
- 68′B. DaboQabala
What is the recent form of both teams?
Over their last 15 matches in all competitions, Səbail have 4 wins, 2 draws and 9 defeats; Qabala have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2018 | Qarabag(home) | 0-1 | Premyer Liqa |
| Feb 11, 2018 | Şamaxı FK(away) | 1-1 | Premyer Liqa |
| Dec 15, 2017 | Qabala(home) | 2-4 | Cup |
| Dec 11, 2017 | Qabala(away) | 0-1 | Cup |
| Dec 8, 2017 | Qarabag(home) | 0-2 | Premyer Liqa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2018 | Zira(home) | 2-1 | Premyer Liqa |
| Feb 10, 2018 | Qarabag(away) | 0-0 | Premyer Liqa |
| Dec 15, 2017 | Səbail(away) | 4-2 | Cup |
| Dec 11, 2017 | Səbail(home) | 1-0 | Cup |
| Dec 3, 2017 | Şamaxı FK(home) | 3-0 | Premyer Liqa |
What does the head-to-head say?
Across the last 4 meetings: 0 Səbail win(s), 0 draw(s), 4 Qabala win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 15, 2017 | Səbail 2-4 Qabala | Cup |
| Dec 11, 2017 | Qabala 1-0 Səbail | Cup |
| Nov 4, 2017 | Qabala 3-1 Səbail | Premyer Liqa |
| Sep 17, 2017 | Səbail 1-3 Qabala | Premyer Liqa |
How many goals should we expect?
Səbail score 0.7 and concede 1.5 goals per match over their last 15; Qabala score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Səbail | 0.7 | 1.5 | 3 | 5/15 | 5/15 |
| Qabala | 2.5 | 0.9 | 6 | 8/15 | 10/15 |
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