Rəvan vs Şahdağ: result 1-0 and analysis
Birinci DastaRegular Season - 30Kick-off on May 27, 2015 at 01:00 PM (UTC)Bayıl Arena, Baku
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What was the result of Rəvan vs Şahdağ?
Rəvan won 1-0 on May 27, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rəvan have 10 wins, 2 draws and 3 defeats; Şahdağ have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2015 | Ağsu(home) | 0-1 | Birinci Dasta |
| May 15, 2015 | Imisli FK(away) | 2-1 | Birinci Dasta |
| May 8, 2015 | Lokomotiv-Biləcəri(home) | 3-0 | Birinci Dasta |
| May 1, 2015 | Zirə(away) | 0-2 | Birinci Dasta |
| Apr 24, 2015 | Neftçala(home) | 1-3 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2015 | Şəmkir(home) | 1-0 | Birinci Dasta |
| May 14, 2015 | Qaradağ Lökbatan(away) | 0-1 | Birinci Dasta |
| May 8, 2015 | Imisli FK(home) | 1-1 | Birinci Dasta |
| May 1, 2015 | Bakılı(away) | 0-0 | Birinci Dasta |
| Apr 25, 2015 | Zirə(home) | 0-1 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Rəvan wins, 0 draws, 1 Şahdağ win.
| Date | Score | Competition |
|---|---|---|
| Nov 22, 2014 | Şahdağ 1-0 Rəvan | Birinci Dasta |
How many goals should we expect?
Rəvan score 2.4 and concede 0.7 goals per match over their last 15; Şahdağ score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rəvan | 2.4 | 0.7 | 7 | 6/15 | 10/15 |
| Şahdağ | 1.5 | 0.9 | 6 | 5/15 | 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 Rəvan 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