Şərurspor vs Şahdağ: result 3-1 and analysis
Birinci DastaMatchday 11Kick-off on November 14, 2016 at 12:00 PM (UTC)Bayıl Arena, Baku
Full time
What was the result of Şərurspor vs Şahdağ?
Şərurspor won 3-1 on November 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Şərurspor have 5 wins, 3 draws and 7 defeats; Şahdağ have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2016 | Turan(away) | 0-2 | Birinci Dasta |
| Nov 4, 2016 | Ağsu(away) | 0-4 | Birinci Dasta |
| Oct 27, 2016 | Səbail(home) | 2-3 | Birinci Dasta |
| Oct 21, 2016 | Mingəçevir(away) | 1-1 | Birinci Dasta |
| Oct 8, 2016 | Göyəzən(home) | 5-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2016 | Ağsu(home) | 1-2 | Birinci Dasta |
| Nov 4, 2016 | Səbail(away) | 1-5 | Birinci Dasta |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 2 Şərurspor wins, 0 draws, 0 Şahdağ wins.
| Date | Score | Competition |
|---|---|---|
| May 6, 2016 | Şahdağ 0-3 Şərurspor | Birinci Dasta |
| Dec 18, 2015 | Şərurspor 5-1 Şahdağ | Birinci Dasta |
How many goals should we expect?
Şərurspor score 1.8 and concede 1.7 goals per match over their last 15; Şahdağ score 1.3 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Şərurspor | 1.8 | 1.7 | 4 | 7/15 | 10/15 |
| Şahdağ | 1.3 | 2.9 | 1 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Şahdağ | 6 | 5 | 0 | 1 | 14 | 2 | 15 |
A question about Şərurspor vs Şahdağ?
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