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 win, 1 draw 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?
In the last meeting: 0 Bakılı wins, 0 draws, 1 Səbail win.
| 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?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Səbail | 4 | 2 | 2 | 0 | 5 | 3 | 8 |
A question about Bakılı vs Səbail?
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