Səbail II vs Qarabağ II: result 0-2 and analysis
Birinci DastaRegular Season - 18Kick-off on March 7, 2019 at 11:00 AM (UTC)ASCO Arena, Baku
Full time
What was the result of Səbail II vs Qarabağ II?
Qarabağ II won 0-2 on March 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Səbail II have 5 wins, 4 draws and 6 defeats; Qarabağ II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2019 | Ağsu(away) | 4-3 | Birinci Dasta |
| Feb 22, 2019 | Keşlə II(home) | 2-1 | Birinci Dasta |
| Feb 15, 2019 | Sumqayıt II(home) | 5-5 | Birinci Dasta |
| Feb 8, 2019 | Şüvəlan(away) | 1-2 | Birinci Dasta |
| Dec 10, 2018 | Turan(home) | 4-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2019 | Zirə II(home) | 4-0 | Birinci Dasta |
| Feb 28, 2019 | Sumqayıt II(home) | 1-3 | Birinci Dasta |
| Feb 22, 2019 | Şüvəlan(away) | 3-1 | Birinci Dasta |
| Feb 5, 2019 | Turan(away) | 2-1 | Birinci Dasta |
| Dec 10, 2018 | Sabah II(home) | 2-0 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Səbail II wins, 1 draw, 0 Qarabağ II wins.
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2018 | Qarabağ II 1-1 Səbail II | Birinci Dasta |
Last archived meeting: Qarabağ II vs Səbail II on Oct 3, 2018
How many goals should we expect?
Səbail II score 1.6 and concede 2.0 goals per match over their last 15; Qarabağ II score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Səbail II | 1.6 | 2.0 | 1 | 11/15 | 10/15 |
| Qarabağ II | 1.7 | 1.4 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Səbail II vs Qarabağ II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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