Səbail vs Şərurspor: result 3-0 and analysis
Birinci DastaRegular Season - 21Kick-off on March 23, 2017 at 11:00 AM (UTC)ASCO Arena, Baku
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What was the result of Səbail vs Şərurspor?
Səbail won 3-0 on March 23, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Səbail have 9 wins, 2 draws and 4 defeats; Şərurspor have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2017 | Ağsu(away) | 2-3 | Birinci Dasta |
| Mar 9, 2017 | Turan(home) | 0-0 | Birinci Dasta |
| Mar 3, 2017 | Mingəçevir(home) | 3-0 | Birinci Dasta |
| Feb 27, 2017 | Imisli FK(home) | 1-0 | Birinci Dasta |
| Feb 22, 2017 | Göyəzən(away) | 7-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2017 | Mingəçevir(home) | 0-3 | Birinci Dasta |
| Mar 9, 2017 | Göyəzən(away) | 3-3 | Birinci Dasta |
| Mar 4, 2017 | Qaradağ Lökbatan(home) | 2-4 | Birinci Dasta |
| Feb 27, 2017 | Şəmkir(home) | 0-4 | Birinci Dasta |
| Feb 23, 2017 | MOIK(away) | 0-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 1 meetings: 1 Səbail win(s), 0 draw(s), 0 Şərurspor win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2016 | Şərurspor 2-3 Səbail | Birinci Dasta |
How many goals should we expect?
Səbail score 2.9 and concede 1.3 goals per match over their last 15; Şərurspor score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Səbail | 2.9 | 1.3 | 6 | 7/15 | 10/15 |
| Şərurspor | 1.1 | 2.1 | 2 | 6/15 | 8/15 |
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