Şərurspor vs MOIK: result 2-2 and analysis
Birinci DastaRegular Season - 4Kick-off on September 28, 2016 at 02:00 PM (UTC)Bayıl Arena, Baku
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What was the result of Şərurspor vs MOIK?
Şərurspor and MOIK drew 2-2 on September 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Şərurspor have 5 wins, 2 draws and 8 defeats; MOIK 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 |
|---|---|---|---|
| Sep 22, 2016 | Imisli FK(away) | 1-1 | Birinci Dasta |
| Sep 14, 2016 | Bakılı(home) | 5-0 | Birinci Dasta |
| Sep 7, 2016 | Şəmkir(away) | 2-3 | Birinci Dasta |
| May 12, 2016 | Bakı(home) | 0-2 | Birinci Dasta |
| May 6, 2016 | Şahdağ(away) | 3-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2016 | Ağsu(home) | 1-0 | Birinci Dasta |
| Sep 15, 2016 | Səbail(away) | 1-4 | Birinci Dasta |
| Sep 8, 2016 | Mingəçevir(home) | 6-0 | Birinci Dasta |
| May 13, 2016 | Şahdağ(home) | 9-1 | Birinci Dasta |
| May 6, 2016 | Şəmkir(away) | 2-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 0 Şərurspor wins, 0 draws, 2 MOIK wins.
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2016 | Şərurspor 0-3 MOIK | Birinci Dasta |
| Nov 20, 2015 | MOIK 1-0 Şərurspor | Birinci Dasta |
How many goals should we expect?
Şərurspor score 1.9 and concede 1.9 goals per match over their last 15; MOIK score 3.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Şərurspor | 1.9 | 1.9 | 4 | 7/15 | 11/15 |
| MOIK | 3.0 | 0.7 | 8 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | MOIK | 5 | 3 | 1 | 1 | 9 | 3 | 10 |
A question about Şərurspor 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