Sabah II vs Səbail II: result 0-1 and analysis
Birinci DastaRegular Season - 16Kick-off on February 20, 2020 at 10:00 AM (UTC)Bank Respublika Arena (ehtiyat meydança), Masazir
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What was the result of Sabah II vs Səbail II?
Səbail II won 0-1 on February 20, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabah II have 9 wins, 1 draw and 5 defeats; Səbail II have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 14, 2020 | Zirə II(away) | 2-1 | Birinci Dasta |
| Feb 6, 2020 | Zaqatala(home) | 3-1 | Birinci Dasta |
| Dec 9, 2019 | Qarabağ II(home) | 1-5 | Birinci Dasta |
| Nov 22, 2019 | Ağsu(away) | 4-0 | Birinci Dasta |
| Nov 7, 2019 | Turan(home) | 1-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2020 | Ağsu(home) | 3-0 | Birinci Dasta |
| Feb 7, 2020 | Turan(away) | 0-0 | Birinci Dasta |
| Dec 9, 2019 | Sumqayıt II(away) | 1-1 | Birinci Dasta |
| Nov 29, 2019 | Keşlə II(home) | 3-0 | Birinci Dasta |
| Nov 21, 2019 | MOIK(away) | 1-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 3 meetings: 2 Sabah II wins, 0 draws, 1 Səbail II win.
| Date | Score | Competition |
|---|---|---|
| Sep 13, 2019 | Səbail II 3-1 Sabah II | Birinci Dasta |
| Apr 16, 2019 | Sabah II 4-1 Səbail II | Birinci Dasta |
| Nov 23, 2018 | Səbail II 0-2 Sabah II | Birinci Dasta |
Last archived meeting: Səbail II vs Sabah II on Sep 13, 2019
How many goals should we expect?
Sabah II score 1.5 and concede 1.1 goals per match over their last 15; Səbail II score 2.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabah II | 1.5 | 1.1 | 5 | 8/15 | 8/15 |
| Səbail II | 2.1 | 0.7 | 7 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Sabah II vs Səbail II?
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