Match

Diosgyori VTK vs Pápa: result 2-0 and analysis

NB IRegular Season - 5Kick-off on August 13, 2011 at 05:00 PM (UTC)Diósgyőri Stadion, Miskolc

Diosgyori VTK
2-0
Pápa

Full time

What was the result of Diosgyori VTK vs Pápa?

Diosgyori VTK won 2-0 on August 13, 2011.

Goalscorers

  • 47′K. BudovinszkyDiosgyori VTK
  • 78′L'Imam SeydiDiosgyori VTK

Official lineup for Diosgyori VTK vs Pápa

The starting elevens fielded at kick-off.

Diosgyori VTK

  1. 9Enrique Javier Carreño Salvago
  2. 88L'Imam Seydi
  1. 7Paco Gallardo
  2. 10Mohamadou Abdouraman
  3. 77Jose Juan Luque Jimenez
  4. 79A. Lippai
  1. 5I. Gal
  2. 6G. Gohér
  3. 17K. Budovinszky
  4. 23Viktor Vadász
  1. 1Ivan Radoš

Pápa

  1. 13I. Ferenczi
  2. 21Goran Maric Govorcin
  1. 4Gábor Tóth
  2. 7Giorgi Ganugrava
  3. 10G. Lovrencsics
  4. 88S. Puri
  1. 2Sándor Nagy
  2. 17Attila Farkas
  3. 22Lasha Totadze
  4. 32Á. Présinger
  1. 27Lajos Szücs
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Diosgyori VTK have 1 win, 1 draw and 2 defeats; Pápa have 3, 1 and 0.

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

Diosgyori VTK
DateOpponentScoreCompetition
Aug 6, 2011Fehérvár FC(away)0-2NB I
Jul 31, 2011Kecskeméti TE(home)1-2NB I
Jul 24, 2011Ferencvarosi TC(away)1-1NB I
Jul 16, 2011Zalaegerszegi TE(home)4-1NB I
Pápa
DateOpponentScoreCompetition
Aug 6, 2011Kaposvar(home)1-0NB I
Jul 31, 2011Paks(away)1-1NB I
Jul 23, 2011Siofok(home)2-0NB I
Jul 16, 2011Ujpest(away)1-0NB I

How many goals should we expect?

Diosgyori VTK score 1.5 and concede 1.5 goals per match over their last 4; Pápa score 1.3 and concede 0.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Diosgyori VTK1.51.503/42/4
Pápa1.30.331/40/4

Over the last 4 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
11Diosgyori VTK3361017396528

A question about Diosgyori VTK vs Pápa?

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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