Match

MTK Budapest vs Qabala: result 1-2 and analysis

UEFA Europa League2nd Qualifying RoundKick-off on July 14, 2016 at 06:30 PM (UTC)Alcufer Stadion, Győr

MTK Budapest
1-2
Qabala

Full time

What was the result of MTK Budapest vs Qabala?

Qabala won 1-2 on July 14, 2016.

Goalscorers

  • 25′N. KvekveskiriQabala
  • 63′F. OzobićQabala
  • 70′S. TorghelleMTK Budapest

Official lineup for MTK Budapest vs Qabala

The starting elevens fielded at kick-off.

MTK Budapest

  1. 9D. Nikač
  2. 14S. Torghelle
  1. 19József Kanta
  2. 30Bálint Borbély
  3. 38Á. Vass
  1. 4Á. Baki
  2. 5Mato Grgić
  3. 18B. Bese
  4. 24P. Poór
  5. 33D. Gera
  1. 1L. Hegedüs

Qabala

  1. 9S. Zenjov
  2. 18B. Dabo
  1. 6Rəşad Əbülfəz oğlu Sadiqov
  2. 7N. Kvekveskiri
  3. 19F. Ozobić
  4. 27T. Lewis
  1. 3V. Stanković
  2. 15V. Vernydub
  3. 17M. Mirzəbəyov
  4. 20Ricardinho
  1. 22Dmytro Bezotosny
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MTK Budapest have 7 wins, 3 draws and 5 defeats; Qabala have 6, 5 and 4.

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

MTK Budapest
DateOpponentScoreCompetition
Jul 7, 2016Aktobe(home)2-0UEFA Europa League
Jun 30, 2016Aktobe(away)1-1UEFA Europa League
Apr 30, 2016Vasas(home)0-2NB I
Apr 23, 2016Fehérvár FC(away)0-5NB I
Apr 20, 2016Puskas Academy(home)0-1NB I
Qabala
DateOpponentScoreCompetition
Jul 7, 2016Samtredia(away)1-2UEFA Europa League
Jun 30, 2016Samtredia(home)5-1UEFA Europa League
May 20, 2016Kapaz(away)1-0Premyer Liqa
May 15, 2016Şüvəlan(home)2-0Premyer Liqa
May 11, 2016Qarabag(away)0-2Premyer Liqa

How many goals should we expect?

MTK Budapest score 1.1 and concede 1.1 goals per match over their last 15; Qabala score 1.5 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MTK Budapest1.11.175/156/15
Qabala1.51.068/157/15

Over the last 15 matches in all competitions.

A question about MTK Budapest vs Qabala?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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

Other matches in the same round

Next match: MTK Budapest and Qabala

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