Şahdağ vs Karvan: result 1-1 and analysis
Birinci DastaRegular Season - 8Kick-off on October 30, 2011 at 10:00 AM (UTC)Şövkət Orduxanov adına stadionu, Gusar
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What was the result of Şahdağ vs Karvan?
Şahdağ and Karvan drew 1-1 on October 30, 2011.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Şahdağ have 2 wins, 0 draws and 3 defeats; Karvan have 7, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2011 | MKT Araz(away) | 2-3 | Birinci Dasta |
| Oct 16, 2011 | Şuşa(home) | 1-0 | Birinci Dasta |
| Oct 2, 2011 | Lokomotiv-Biləcəri(away) | 0-1 | Birinci Dasta |
| Sep 18, 2011 | Taraggi(away) | 1-3 | Birinci Dasta |
| Sep 11, 2011 | Mugan(home) | 2-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2011 | Şuşa(home) | 2-1 | Birinci Dasta |
| Oct 15, 2011 | Mugan(away) | 6-0 | Birinci Dasta |
| Oct 8, 2011 | Lokomotiv-Biləcəri(home) | 4-0 | Birinci Dasta |
| Oct 1, 2011 | Göyəzən(away) | 3-1 | Birinci Dasta |
| Sep 24, 2011 | Taraggi(home) | 2-1 | Birinci Dasta |
How many goals should we expect?
Şahdağ score 1.2 and concede 1.6 goals per match over their last 5; Karvan score 3.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Şahdağ | 1.2 | 1.6 | 1 | 3/5 | 3/5 |
| Karvan | 3.3 | 0.7 | 2 | 5/7 | 7/7 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Şahdağ sit 1st in Birinci Dasta (12 points from 4 matches) and Karvan sit 4th (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Şahdağ | 4 | 4 | 0 | 0 | 13 | 1 | 12 |
| 4 | Karvan | 4 | 2 | 1 | 1 | 7 | 3 | 7 |
A question about Şahdağ vs Karvan?
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