Match

Vasas vs Paks: result 1-0 and analysis

NB IRegular Season - 13Kick-off on October 22, 2011 at 01:00 PM (UTC)Illovszky Rudolf Stadion, Budapest

Vasas
1-0
Paks

Full time

What was the result of Vasas vs Paks?

Vasas won 1-0 on October 22, 2011.

Goalscorers

  • 86′Marko ŠimićVasas

Official lineup for Vasas vs Paks

The starting elevens fielded at kick-off.

Vasas

  1. 7Jusuf Dajic
  2. 9G. Beliczky
  1. 7D. Kulcsár
  2. 10Zsolt Bárányos
  3. 26Balázs Farkas
  4. 33C. Olatunde
  1. 5Haris Mehmedagić
  2. 6Gábor Kovács
  3. 36J. Gáspár
  4. 55Laszlo Suto
  1. 1Lubos Ilizi

Paks

  1. 13D. Böde
  1. 10Tamás Kiss
  2. 11G. Vayer
  3. 22István Sipeki
  4. 32L. Szatmári
  5. 39L. Bartha
  1. 9Tamás Csehi
  2. 16Tibor Heffler
  3. 18A. Fiola
  4. 63László Eger
  1. 24N. Csernyánszki
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Vasas have 3 wins, 6 draws and 4 defeats; Paks have 4, 5 and 3.

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

Vasas
DateOpponentScoreCompetition
Oct 15, 2011Siofok(away)0-0NB I
Oct 1, 2011Ujpest(home)3-0NB I
Sep 24, 2011Pápa(away)0-0NB I
Sep 21, 2011Budaorsi SC(away)2-0Magyar Kupa
Sep 17, 2011Fehérvár FC(home)0-0NB I
Paks
DateOpponentScoreCompetition
Oct 15, 2011Szombathelyi Haladas(home)3-2NB I
Oct 1, 2011Budapest Honved(away)3-2NB I
Sep 24, 2011Pécsi MFC(home)4-4NB I
Sep 18, 2011Debreceni VSC(away)2-4NB I
Sep 11, 2011Diosgyori VTK(home)1-1NB I

How many goals should we expect?

Vasas score 1.1 and concede 1.2 goals per match over their last 13; Paks score 2.1 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vasas1.11.275/135/13
Paks2.12.3110/128/12

Over the last 13 matches in all competitions.

Where do both teams sit in the table?

Vasas sit 2nd in NB I (15 points from 9 matches) and Paks sit 5th (14 points from 9 matches).

2026-27 standings
#ClubPWDLGFGAPts
2Vasas9432181215
5Paks9423191714

A question about Vasas vs Paks?

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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