Sabah FA vs Qaradağ Lökbatan: result 0-2 and analysis
Birinci DastaRegular Season - 11Kick-off on November 24, 2017 at 10:30 AM (UTC)Bank Respublika Arena, Masazyr (Masazir)
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What was the result of Sabah FA vs Qaradağ Lökbatan?
Qaradağ Lökbatan won 0-2 on November 24, 2017.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Sabah FA have 3 wins, 2 draws and 5 defeats; Qaradağ Lökbatan have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2017 | Binə(away) | 1-1 | Birinci Dasta |
| Nov 17, 2017 | Imisli FK(home) | 0-4 | Birinci Dasta |
| Nov 11, 2017 | MOIK(away) | 1-3 | Birinci Dasta |
| Nov 7, 2017 | Ağsu(home) | 3-2 | Birinci Dasta |
| Nov 2, 2017 | Turan(away) | 0-4 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2017 | MOIK(home) | 2-1 | Birinci Dasta |
| Nov 17, 2017 | Ağsu(home) | 4-1 | Birinci Dasta |
| Nov 12, 2017 | Turan(away) | 1-1 | Birinci Dasta |
| Nov 8, 2017 | Xəzər(home) | 2-0 | Birinci Dasta |
| Nov 2, 2017 | Şüvəlan(away) | 2-1 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Sabah FA wins, 0 draws, 1 Qaradağ Lökbatan win.
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2017 | Qaradağ Lökbatan 2-1 Sabah FA | Birinci Dasta |
Last archived meeting: Qaradağ Lökbatan vs Sabah FA on Oct 7, 2017
How many goals should we expect?
Sabah FA score 1.2 and concede 1.7 goals per match over their last 10; Qaradağ Lökbatan score 2.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabah FA | 1.2 | 1.7 | 3 | 4/10 | 6/10 |
| Qaradağ Lökbatan | 2.2 | 0.9 | 5 | 9/15 | 9/15 |
Over the last 10 matches in all competitions.
A question about Sabah FA vs Qaradağ Lökbatan?
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