Sabah FA vs MOIK: result 1-0 and analysis
Birinci DastaRegular Season - 17Kick-off on March 9, 2018 at 11:00 AM (UTC)Bank Respublika Arena, Masazyr (Masazir)
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What was the result of Sabah FA vs MOIK?
Sabah FA won 1-0 on March 9, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabah FA have 4 wins, 4 draws and 7 defeats; MOIK have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2018 | Ağsu(away) | 1-0 | Birinci Dasta |
| Feb 23, 2018 | Turan(home) | 2-2 | Birinci Dasta |
| Feb 15, 2018 | Xəzər(away) | 0-3 | Birinci Dasta |
| Dec 7, 2017 | Şüvəlan(home) | 2-1 | Birinci Dasta |
| Dec 4, 2017 | Zaqatala(away) | 1-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2018 | Imisli FK(away) | 2-1 | Birinci Dasta |
| Feb 23, 2018 | Ağsu(home) | 2-0 | Birinci Dasta |
| Feb 15, 2018 | Turan(away) | 2-1 | Birinci Dasta |
| Dec 8, 2017 | Xəzər(home) | 0-1 | Birinci Dasta |
| Dec 4, 2017 | Şüvəlan(away) | 0-3 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 0 Sabah FA wins, 0 draws, 1 MOIK win.
| Date | Score | Competition |
|---|---|---|
| Nov 11, 2017 | MOIK 3-1 Sabah FA | Birinci Dasta |
How many goals should we expect?
Sabah FA score 1.1 and concede 1.8 goals per match over their last 15; MOIK score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabah FA | 1.1 | 1.8 | 3 | 6/15 | 9/15 |
| MOIK | 1.5 | 1.2 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | MOIK | 4 | 2 | 1 | 1 | 6 | 2 | 7 |
A question about Sabah FA vs MOIK?
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