Şamaxı FK vs Sabah FA: result 0-1 and analysis
Premyer LiqaRegular Season - 1Kick-off on August 12, 2018 at 05:00 PM (UTC)ASK Arena, Baku
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What was the result of Şamaxı FK vs Sabah FA?
Sabah FA won 0-1 on August 12, 2018.
Goalscorers
- 45′Marko DevićSabah FA (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Şamaxı FK have 7 wins, 5 draws and 3 defeats; Sabah FA have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 19, 2018 | Balzan FC(home) | 2-1 | UEFA Europa League |
| Jul 12, 2018 | Balzan FC(away) | 1-4 | UEFA Europa League |
| May 28, 2018 | Qabala(home) | 1-0 | Cup |
| May 20, 2018 | Səbail(away) | 1-0 | Premyer Liqa |
| May 12, 2018 | Qarabag(home) | 3-0 | Premyer Liqa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2018 | Imisli FK(home) | 4-1 | Birinci Dasta |
| May 4, 2018 | MOIK(away) | 0-0 | Birinci Dasta |
| Apr 26, 2018 | Ağsu(home) | 4-0 | Birinci Dasta |
| Apr 20, 2018 | Turan(away) | 3-0 | Birinci Dasta |
| Apr 12, 2018 | Xəzər(home) | 0-1 | Birinci Dasta |
How many goals should we expect?
Şamaxı FK score 1.4 and concede 1.1 goals per match over their last 15; Sabah FA score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Şamaxı FK | 1.4 | 1.1 | 4 | 11/15 | 7/15 |
| Sabah FA | 1.9 | 0.9 | 6 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Şamaxı FK sit 7th in Premyer Liqa (13 points from 9 matches) and Sabah FA sit 1st (19 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Sabah FA | 7 | 6 | 1 | 0 | 18 | 1 | 19 |
| 7 | Şamaxı FK | 9 | 3 | 4 | 2 | 13 | 11 | 13 |
A question about Şamaxı FK vs Sabah FA?
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