Səbail vs Imisli FK: result 1-0 and analysis
Birinci DastaRegular Season - 14Kick-off on February 27, 2017 at 03:00 PM (UTC)ASCO Arena, Baku
Full time
What was the result of Səbail vs Imisli FK?
Səbail won 1-0 on February 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Səbail have 9 wins, 1 draw and 5 defeats; Imisli FK have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2017 | Göyəzən(away) | 7-0 | Birinci Dasta |
| Feb 18, 2017 | Qaradağ Lökbatan(home) | 3-1 | Birinci Dasta |
| Feb 11, 2017 | MOIK(away) | 2-0 | Birinci Dasta |
| Dec 3, 2016 | Qarabag(away) | 0-5 | Cup |
| Nov 24, 2016 | Bakılı(home) | 11-3 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2017 | Şahdağ(home) | 3-0 | Birinci Dasta |
| Feb 15, 2017 | Şərurspor(away) | 1-0 | Birinci Dasta |
| Feb 10, 2017 | Ağsu(home) | 2-0 | Birinci Dasta |
| Nov 24, 2016 | Mingəçevir(away) | 4-2 | Birinci Dasta |
| Nov 17, 2016 | Göyəzən(home) | 6-2 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 1 Səbail win, 0 draws, 0 Imisli FK wins.
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2016 | Imisli FK 0-3 Səbail | Birinci Dasta |
How many goals should we expect?
Səbail score 3.2 and concede 1.6 goals per match over their last 15; Imisli FK score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Səbail | 3.2 | 1.6 | 4 | 9/15 | 12/15 |
| Imisli FK | 1.7 | 1.1 | 7 | 6/15 | 6/15 |
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 | 5 | 3 | 2 | 0 | 8 | 4 | 11 |
A question about Səbail vs Imisli FK?
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