Match

Paks vs Diosgyori VTK: result 1-1 and analysis

NB IRegular Season - 8Kick-off on September 11, 2011 at 02:00 PM (UTC)Paksi FC Stadion, Paks

Paks
1-1
Diosgyori VTK

Full time

What was the result of Paks vs Diosgyori VTK?

Paks and Diosgyori VTK drew 1-1 on September 11, 2011.

Goalscorers

  • 79′Tibor MontvaiPaks (pen.)
  • 86′K. BudovinszkyDiosgyori VTK

Official lineup for Paks vs Diosgyori VTK

The starting elevens fielded at kick-off.

Paks

  1. 13D. Böde
  1. 6Tamas Sifter
  2. 10Tamás Kiss
  3. 11G. Vayer
  4. 22István Sipeki
  5. 39L. Bartha
  1. 7Tamás Balo
  2. 16Tibor Heffler
  3. 18A. Fiola
  4. 63László Eger
  1. 24N. Csernyánszki

Diosgyori VTK

  1. 21George Menougong
  2. 88L'Imam Seydi
  1. 7Paco Gallardo
  2. 8Vicente Arze Camacho
  3. 10Mohamadou Abdouraman
  4. 77Jose Juan Luque Jimenez
  1. 5I. Gal
  2. 6G. Gohér
  3. 17K. Budovinszky
  4. 23Viktor Vadász
  1. 1Ivan Radoš
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What is the recent form of both teams?

Over their last 7 matches in all competitions, Paks have 2 wins, 3 draws and 2 defeats; Diosgyori VTK have 3, 2 and 2.

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

Paks
DateOpponentScoreCompetition
Aug 27, 2011Kaposvar(away)4-4NB I
Aug 20, 2011Gyori ETO FC(home)1-2NB I
Aug 13, 2011Siofok(home)1-1NB I
Aug 7, 2011Ujpest(away)2-0NB I
Jul 31, 2011Pápa(home)1-1NB I
Diosgyori VTK
DateOpponentScoreCompetition
Aug 27, 2011Siofok(home)2-1NB I
Aug 21, 2011Ujpest(away)1-1NB I
Aug 13, 2011Pápa(home)2-0NB I
Aug 6, 2011Fehérvár FC(away)0-2NB I
Jul 31, 2011Kecskeméti TE(home)1-2NB I

How many goals should we expect?

Paks score 1.7 and concede 2.0 goals per match over their last 7; Diosgyori VTK score 1.6 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Paks1.72.015/74/7
Diosgyori VTK1.61.115/73/7

Over the last 7 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5Paks9423191714

A question about Paks vs Diosgyori VTK?

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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