Keşlə II vs Sabah II: result 0-2 and analysis
Birinci DastaMatchday 17Kick-off on February 28, 2019 at 11:00 AM (UTC)
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What was the result of Keşlə II vs Sabah II?
Sabah II won 0-2 on February 28, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Keşlə II have 6 wins, 2 draws and 7 defeats; Sabah 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 |
|---|---|---|---|
| Feb 22, 2019 | Səbail II(away) | 1-2 | Birinci Dasta |
| Feb 15, 2019 | Qaradağ Lökbatan(home) | 2-0 | Birinci Dasta |
| Feb 7, 2019 | Sumqayıt II(away) | 0-3 | Birinci Dasta |
| Dec 10, 2018 | Şüvəlan(away) | 1-0 | Birinci Dasta |
| Nov 29, 2018 | Neftçi II(home) | 3-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2019 | Qaradağ Lökbatan(home) | 1-0 | Birinci Dasta |
| Feb 14, 2019 | Zaqatala(away) | 1-2 | Birinci Dasta |
| Feb 7, 2019 | Neftçi II(home) | 0-1 | Birinci Dasta |
| Dec 10, 2018 | Qarabağ II(away) | 0-2 | Birinci Dasta |
| Nov 29, 2018 | Ağsu(home) | 4-0 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Keşlə II wins, 0 draws, 1 Sabah II win.
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2018 | Sabah II 2-1 Keşlə II | Birinci Dasta |
How many goals should we expect?
Keşlə II score 1.5 and concede 1.3 goals per match over their last 15; Sabah II score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Keşlə II | 1.5 | 1.3 | 4 | 9/15 | 10/15 |
| Sabah II | 0.9 | 0.7 | 9 | 3/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Keşlə II vs Sabah 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