Səbail vs Turan: result 0-0 and analysis
Birinci DastaRegular Season - 19Kick-off on March 9, 2017 at 03:00 PM (UTC)ASCO Arena, Baku
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What was the result of Səbail vs Turan?
Səbail and Turan drew 0-0 on March 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Səbail have 10 wins, 1 draw and 4 defeats; Turan have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Feb 18, 2017 | Qaradağ Lökbatan(home) | 3-1 | Birinci Dasta |
| Feb 11, 2017 | MOIK(away) | 2-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2017 | Şəmkir(home) | 2-0 | Birinci Dasta |
| Feb 27, 2017 | Rəvan(home) | 5-0 | Birinci Dasta |
| Feb 22, 2017 | Mingəçevir(away) | 7-1 | Birinci Dasta |
| Feb 16, 2017 | Zaqatala(home) | 2-1 | Birinci Dasta |
| Feb 10, 2017 | Göyəzən(away) | 4-0 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Səbail wins, 0 draws, 1 Turan win.
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2016 | Turan 2-1 Səbail | Birinci Dasta |
How many goals should we expect?
Səbail score 2.9 and concede 1.3 goals per match over their last 15; Turan score 2.6 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Səbail | 2.9 | 1.3 | 5 | 8/15 | 11/15 |
| Turan | 2.6 | 0.5 | 9 | 5/15 | 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 Səbail vs Turan?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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