Kapaz vs Şahdağ: result 0-0 and analysis
Birinci DastaRegular Season - 1Kick-off on September 6, 2014 at 12:30 PM (UTC)Şəhər stadionu, Gəncə
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What was the result of Kapaz vs Şahdağ?
Kapaz and Şahdağ drew 0-0 on September 6, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kapaz have 4 wins, 1 draw and 10 defeats; Şahdağ have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2014 | Bakılı(home) | 3-0 | Birinci Dasta |
| May 11, 2014 | Qaradağ Lökbatan(home) | 0-1 | Birinci Dasta |
| May 3, 2014 | Neftçala(away) | 0-4 | Birinci Dasta |
| Apr 26, 2014 | Şəmkir(home) | 2-0 | Birinci Dasta |
| Apr 19, 2014 | Turan(away) | 1-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2014 | Lokomotiv-Biləcəri(away) | 1-1 | Birinci Dasta |
| May 11, 2014 | Ağsu(home) | 1-1 | Birinci Dasta |
| May 2, 2014 | Mingəçevir(away) | 2-1 | Birinci Dasta |
| Apr 26, 2014 | Qaradağ Lökbatan(home) | 3-3 | Birinci Dasta |
| Apr 19, 2014 | Neftçala(away) | 0-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 0 Kapaz wins, 0 draws, 2 Şahdağ wins.
| Date | Score | Competition |
|---|---|---|
| Mar 15, 2014 | Şahdağ 2-0 Kapaz | Birinci Dasta |
| Nov 24, 2013 | Kapaz 0-1 Şahdağ | Birinci Dasta |
How many goals should we expect?
Kapaz score 0.9 and concede 1.1 goals per match over their last 15; Şahdağ score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kapaz | 0.9 | 1.1 | 4 | 3/15 | 5/15 |
| Şahdağ | 1.9 | 0.9 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Şahdağ | 4 | 4 | 0 | 0 | 13 | 1 | 12 |
A question about Kapaz 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