Zaqatala vs Şəmkir: result 1-2 and analysis
Birinci DastaRegular Season - 4Kick-off on September 30, 2016 at 11:00 AM (UTC)Şəhər stadionu, Zaqatala
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What was the result of Zaqatala vs Şəmkir?
Şəmkir won 1-2 on September 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zaqatala have 6 wins, 5 draws and 4 defeats; Şəmkir 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 |
|---|---|---|---|
| Sep 22, 2016 | Turan(home) | 0-1 | Birinci Dasta |
| Sep 16, 2016 | Rəvan(away) | 5-1 | Birinci Dasta |
| Sep 7, 2016 | Şahdağ(home) | 2-2 | Birinci Dasta |
| May 13, 2016 | Ağsu(home) | 1-1 | Birinci Dasta |
| May 6, 2016 | Turan(home) | 5-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2016 | Rəvan(home) | 3-1 | Birinci Dasta |
| Sep 16, 2016 | Şahdağ(away) | 0-1 | Birinci Dasta |
| Sep 7, 2016 | Şərurspor(home) | 3-2 | Birinci Dasta |
| May 13, 2016 | Turan(away) | 0-1 | Birinci Dasta |
| May 6, 2016 | MOIK(home) | 1-2 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 0 Zaqatala wins, 1 draw, 1 Şəmkir win.
| Date | Score | Competition |
|---|---|---|
| Feb 19, 2016 | Şəmkir 1-1 Zaqatala | Birinci Dasta |
| Sep 17, 2015 | Zaqatala 0-2 Şəmkir | Birinci Dasta |
How many goals should we expect?
Zaqatala score 2.4 and concede 1.4 goals per match over their last 15; Şəmkir score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zaqatala | 2.4 | 1.4 | 3 | 10/15 | 9/15 |
| Şəmkir | 1.3 | 1.1 | 2 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Zaqatala | 5 | 1 | 1 | 3 | 6 | 14 | 4 |
A question about Zaqatala vs Şəmkir?
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