Match

MOIK vs Şamaxı FK: result 0-3 and analysis

Cup8th FinalsKick-off on November 29, 2017 at 09:30 AM (UTC)Binə qəsəbə stadionu, Binə

MOIK
0-3
Şamaxı FK

Full time

What was the result of MOIK vs Şamaxı FK?

Şamaxı FK won 0-3 on November 29, 2017.

Goalscorers

  • 42′A. ScarlatacheŞamaxı FK
  • 65′M. AbbasovŞamaxı FK
  • 77′R. MəhərrəmliŞamaxı FK

Official lineup for MOIK vs Şamaxı FK

The starting elevens fielded at kick-off.

MOIK

  1. RR. Nəsirli
  1. TTofiq Mikayılov
  2. OO. Həsənov
  3. QQ. İbrahimov
  4. CCavid Həziyev
  5. İİ. İbrahimli
  6. BB. Həziyev
  1. MMehman Məmmədov
  2. CCəmil Hacıyev
  3. BBilal Abbaszadə
  1. AA. Bayramov

Şamaxı FK

  1. PPərdis Fərcad-Azad
  1. MM. Abbasov
  2. MMəmməd Quliyev
  3. RR. Məhərrəmli
  1. AA. Scarlatache
  2. DDênis Silva Cruz
  3. İİ. Qırtımov
  4. SS. Alxasov
  5. SS. Taşqın
  6. MMurad Qayalı
  1. OO. Sadıqlı
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MOIK have 8 wins, 2 draws and 5 defeats; Şamaxı FK have 3, 2 and 10.

The competition is shown for every match: in pre-season, several of these games are friendlies.

MOIK
DateOpponentScoreCompetition
Nov 25, 2017Zaqatala(home)3-2Birinci Dasta
Nov 21, 2017Qaradağ Lökbatan(away)1-2Birinci Dasta
Nov 16, 2017Binə(away)0-1Birinci Dasta
Nov 11, 2017Sabah FA(home)3-1Birinci Dasta
Nov 7, 2017Imisli FK(home)4-0Birinci Dasta
Şamaxı FK
DateOpponentScoreCompetition
Nov 25, 2017Neftchi Baku(away)1-3Premyer Liqa
Nov 18, 2017Zira(home)0-1Premyer Liqa
Nov 4, 2017Sumqayıt(away)1-3Premyer Liqa
Oct 28, 2017Kapaz(home)0-2Premyer Liqa
Oct 20, 2017Səbail(away)0-1Premyer Liqa

How many goals should we expect?

MOIK score 1.8 and concede 1.1 goals per match over their last 15; Şamaxı FK score 0.7 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MOIK1.81.129/159/15
Şamaxı FK0.71.727/155/15

Over the last 15 matches in all competitions.

A question about MOIK vs Şamaxı FK?

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

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