Səbail vs Şahdağ: result 5-1 and analysis
Birinci DastaRegular Season - 9Kick-off on November 4, 2016 at 03:00 PM (UTC)ASCO Arena, Baku
Full time
What was the result of Səbail vs Şahdağ?
Səbail won 5-1 on November 4, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Səbail have 5 wins, 1 draw and 2 defeats; Şahdağ have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2016 | Şərurspor(away) | 3-2 | Birinci Dasta |
| Oct 21, 2016 | Ağsu(home) | 1-1 | Birinci Dasta |
| Oct 8, 2016 | Turan(away) | 1-2 | Birinci Dasta |
| Oct 4, 2016 | Mingəçevir(away) | 2-1 | Birinci Dasta |
| Sep 29, 2016 | Göyəzən(home) | 6-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2016 | Mingəçevir(home) | 2-1 | Birinci Dasta |
| Oct 21, 2016 | Göyəzən(away) | 1-1 | Birinci Dasta |
| Oct 9, 2016 | Qaradağ Lökbatan(home) | 2-1 | Birinci Dasta |
| Oct 4, 2016 | MOIK(away) | 0-6 | Birinci Dasta |
| Sep 30, 2016 | Imisli FK(home) | 2-2 | Birinci Dasta |
How many goals should we expect?
Səbail score 2.8 and concede 1.4 goals per match over their last 8; Şahdağ score 1.3 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Səbail | 2.8 | 1.4 | 2 | 6/8 | 7/8 |
| Şahdağ | 1.3 | 2.4 | 3 | 9/15 | 10/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Səbail sit 3rd in Birinci Dasta (8 points from 4 matches) and Şahdağ sit 1st (12 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Şahdağ | 4 | 4 | 0 | 0 | 13 | 1 | 12 |
| 3 | Səbail | 4 | 2 | 2 | 0 | 5 | 3 | 8 |
A question about Səbail vs Şahdağ?
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