Bakılı vs Səbail: result 1-7 and analysis
Birinci DastaRegular Season - 26Kick-off on April 27, 2017 at 12:00 PM (UTC)Zirə qəsəbə stadionu, Zirya
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What was the result of Bakılı vs Səbail?
Səbail won 1-7 on April 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bakılı have 1 wins, 1 draws and 13 defeats; Səbail have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2017 | Mingəçevir(away) | 1-1 | Birinci Dasta |
| Apr 14, 2017 | Göyəzən(home) | 4-0 | Birinci Dasta |
| Apr 9, 2017 | Qaradağ Lökbatan(away) | 1-6 | Birinci Dasta |
| Mar 30, 2017 | Şahdağ(away) | 0-3 | Birinci Dasta |
| Mar 26, 2017 | MOIK(home) | 1-3 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2017 | Şəmkir(home) | 1-0 | Birinci Dasta |
| Apr 14, 2017 | Zaqatala(away) | 1-1 | Birinci Dasta |
| Apr 8, 2017 | Rəvan(home) | 3-0 | Birinci Dasta |
| Mar 27, 2017 | Şahdağ(away) | 4-0 | Birinci Dasta |
| Mar 23, 2017 | Şərurspor(home) | 3-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 1 meetings: 0 Bakılı win(s), 0 draw(s), 1 Səbail win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2016 | Səbail 11-3 Bakılı | Birinci Dasta |
How many goals should we expect?
Bakılı score 1.0 and concede 3.9 goals per match over their last 15; Səbail score 2.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bakılı | 1.0 | 3.9 | 1 | 8/15 | 12/15 |
| Səbail | 2.7 | 1.0 | 9 | 4/15 | 9/15 |
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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Səbail | 27 | 14 | 8 | 5 | 46 | 21 | 50 |
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