Səbail II vs Keşlə II: result 3-0 and analysis
Birinci DastaRegular Season - 12Kick-off on November 29, 2019 at 11:30 AM (UTC)Bayıl Arena, Baku
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What was the result of Səbail II vs Keşlə II?
Səbail II won 3-0 on November 29, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Səbail II have 9 wins, 3 draws and 3 defeats; Keşlə II have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2019 | MOIK(away) | 1-0 | Birinci Dasta |
| Nov 8, 2019 | Kapaz(home) | 1-0 | Birinci Dasta |
| Oct 31, 2019 | Neftçi II(away) | 1-1 | Birinci Dasta |
| Oct 25, 2019 | Qaradağ Lökbatan(home) | 5-0 | Birinci Dasta |
| Oct 4, 2019 | Zirə II(away) | 5-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2019 | Zirə II(home) | 0-2 | Birinci Dasta |
| Nov 7, 2019 | Zaqatala(away) | 2-0 | Birinci Dasta |
| Nov 1, 2019 | Qarabağ II(home) | 2-1 | Birinci Dasta |
| Oct 24, 2019 | Sabah II(away) | 1-1 | Birinci Dasta |
| Oct 18, 2019 | Ağsu(home) | 4-0 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 2 Səbail II wins, 0 draws, 0 Keşlə II wins.
| Date | Score | Competition |
|---|---|---|
| Feb 22, 2019 | Səbail II 2-1 Keşlə II | Birinci Dasta |
| Sep 21, 2018 | Keşlə II 1-2 Səbail II | Birinci Dasta |
Last archived meeting: Səbail II vs Keşlə II on Feb 22, 2019
How many goals should we expect?
Səbail II score 2.1 and concede 1.2 goals per match over their last 15; Keşlə II score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Səbail II | 2.1 | 1.2 | 5 | 10/15 | 10/15 |
| Keşlə II | 1.6 | 1.3 | 4 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Səbail II vs Keşlə 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