Rəvan vs MOIK: result 1-3 and analysis
Birinci DastaRegular Season - 6Kick-off on October 9, 2016 at 09:00 AM (UTC)Bayıl Arena, Baku
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What was the result of Rəvan vs MOIK?
MOIK won 1-3 on October 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rəvan have 5 wins, 1 draws and 9 defeats; MOIK have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2016 | Imisli FK(away) | 1-0 | Birinci Dasta |
| Sep 30, 2016 | Bakılı(home) | 3-2 | Birinci Dasta |
| Sep 22, 2016 | Şəmkir(away) | 1-3 | Birinci Dasta |
| Sep 16, 2016 | Zaqatala(home) | 1-5 | Birinci Dasta |
| Sep 7, 2016 | Turan(home) | 0-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2016 | Şahdağ(home) | 6-0 | Birinci Dasta |
| Sep 28, 2016 | Şərurspor(away) | 2-2 | Birinci Dasta |
| Sep 22, 2016 | Ağsu(home) | 1-0 | Birinci Dasta |
| Sep 15, 2016 | Səbail(away) | 1-4 | Birinci Dasta |
| Sep 8, 2016 | Mingəçevir(home) | 6-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 2 Rəvan win(s), 0 draw(s), 0 MOIK win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 23, 2015 | MOIK 0-6 Rəvan | Birinci Dasta |
| Oct 9, 2014 | Rəvan 6-0 MOIK | Birinci Dasta |
How many goals should we expect?
Rəvan score 1.1 and concede 2.4 goals per match over their last 15; MOIK score 3.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rəvan | 1.1 | 2.4 | 3 | 8/15 | 10/15 |
| MOIK | 3.2 | 0.7 | 8 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | MOIK | 27 | 9 | 6 | 12 | 33 | 40 | 33 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy