Səbail vs Rəvan: result 3-0 and analysis
Birinci DastaRegular Season - 23Kick-off on April 8, 2017 at 10:00 PM (UTC)ASCO Arena, Baku
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What was the result of Səbail vs Rəvan?
Səbail won 3-0 on April 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Səbail have 10 wins, 1 draw and 4 defeats; Rəvan have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2017 | Şahdağ(away) | 4-0 | Birinci Dasta |
| Mar 23, 2017 | Şərurspor(home) | 3-0 | Birinci Dasta |
| Mar 16, 2017 | Ağsu(away) | 2-3 | Birinci Dasta |
| Mar 9, 2017 | Turan(home) | 0-0 | Birinci Dasta |
| Mar 3, 2017 | Mingəçevir(home) | 3-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Mingəçevir(home) | 0-3 | Birinci Dasta |
| Mar 22, 2017 | Göyəzən(away) | 0-3 | Birinci Dasta |
| Mar 16, 2017 | Qaradağ Lökbatan(home) | 0-3 | Birinci Dasta |
| Mar 10, 2017 | MOIK(away) | 1-1 | Birinci Dasta |
| Mar 5, 2017 | Imisli FK(home) | 2-1 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 1 Səbail win, 0 draws, 0 Rəvan wins.
| Date | Score | Competition |
|---|---|---|
| Nov 8, 2016 | Rəvan 0-4 Səbail | Birinci Dasta |
How many goals should we expect?
Səbail score 3.1 and concede 1.1 goals per match over their last 15; Rəvan score 0.9 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Səbail | 3.1 | 1.1 | 8 | 5/15 | 11/15 |
| Rəvan | 0.9 | 2.6 | 1 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Səbail | 4 | 2 | 2 | 0 | 5 | 3 | 8 |
A question about Səbail vs Rəvan?
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