Match

Litex vs Diosgyori VTK: result 0-2 and analysis

UEFA Europa League2nd Qualifying RoundKick-off on July 17, 2014 at 05:45 PM (UTC)Gradski stadion, Lovech

Litex
0-2
Diosgyori VTK

Full time

What was the result of Litex vs Diosgyori VTK?

Diosgyori VTK won 0-2 on July 17, 2014.

Goalscorers

  • 83′M. NémethDiosgyori VTK
  • 90′M. GrumićDiosgyori VTK

Official lineup for Litex vs Diosgyori VTK

The starting elevens fielded at kick-off.

Litex

  1. 9W. Jordán
  1. 14Armando Vajushi
  2. 24Petar Zlatinov
  3. 70D. Moreno
  4. 78Omar Kossoko
  5. 93P. Boumal
  1. 5Nikolay Georgiev Bodurov
  2. 6Jackson Mendy
  3. 13Vasil Bozhikov
  4. 16S. Popov
  1. 31Vinícius

Diosgyori VTK

  1. 9P. Bacsa
  1. 17T. Egerszegi
  2. 18András Gosztonyi
  3. 25Ákos Elek
  4. 31D. Barczi
  1. 3Senad Husić
  2. 4T. Kádár
  3. 7Dražen Okuka
  4. 14A. Debreceni
  5. 29M. Németh
  1. 99B. Antal
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What is the recent form of both teams?

Over their last 6 matches in all competitions, Litex have 3 wins, 1 draw and 2 defeats; Diosgyori VTK have 8, 3 and 4.

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

Litex
DateOpponentScoreCompetition
Jul 11, 2014Veris(home)3-0UEFA Europa League
Jul 3, 2014Veris(away)0-0UEFA Europa League
Aug 3, 2011Wisla Krakow(away)1-3UEFA Champions League
Jul 26, 2011Wisla Krakow(home)1-2UEFA Champions League
Jul 19, 2011Mogren(home)3-0UEFA Champions League
Diosgyori VTK
DateOpponentScoreCompetition
Jul 10, 2014Birkirkara(away)4-1UEFA Europa League
Jul 3, 2014Birkirkara(home)2-1UEFA Europa League
Jun 1, 2014Fehérvár FC(away)1-1NB I
May 25, 2014Ujpest(away)2-2Magyar Kupa
May 17, 2014Pécsi MFC(home)3-0NB I

How many goals should we expect?

Litex score 1.7 and concede 1.0 goals per match over their last 6; Diosgyori VTK score 1.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Litex1.71.033/65/6
Diosgyori VTK1.81.359/1510/15

Over the last 6 matches in all competitions.

A question about Litex vs Diosgyori VTK?

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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

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