Match

Pécsi MFC vs Pápa: result 2-1 and analysis

NB IRegular Season - 7Kick-off on August 27, 2011 at 05:00 PM (UTC)PMFC Stadion, Pécs

Pécsi MFC
2-1
Pápa

Full time

What was the result of Pécsi MFC vs Pápa?

Pécsi MFC won 2-1 on August 27, 2011.

Goalscorers

  • 13′Giorgi GanugravaPápa
  • 37′Z. HorváthPécsi MFC
  • 45′Roland FrölichPécsi MFC

Official lineup for Pécsi MFC vs Pápa

The starting elevens fielded at kick-off.

Pécsi MFC

  1. 19S. Gyánó
  2. 69Z. Horváth
  1. 2Roland Frölich
  2. 10Olivér Nagy
  3. 18Levente Lantos
  4. 21M. Šćepanović
  1. 8Attila Pinter
  2. 28Nenad Todorovic
  3. 36Marko Marovic
  4. 61G. Simonfalvi
  1. 12D. Dibusz

Pápa

  1. 13I. Ferenczi
  1. 7Giorgi Ganugrava
  2. 10G. Lovrencsics
  3. 26Levente Horvath
  1. 2Sándor Nagy
  2. 18Gabor Varga
  3. 20István Rodenbucher
  4. 22Lasha Totadze
  5. 30C. Quintero
  6. 32Á. Présinger
  1. 27Lajos Szücs
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What is the recent form of both teams?

Over their last 6 matches in all competitions, Pécsi MFC have 4 wins, 1 draw and 1 defeat; Pápa have 3, 1 and 2.

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

Pécsi MFC
DateOpponentScoreCompetition
Aug 20, 2011Fehérvár FC(away)1-4NB I
Aug 13, 2011Kecskeméti TE(home)2-2NB I
Aug 7, 2011Ferencvarosi TC(away)1-0NB I
Jul 30, 2011Zalaegerszegi TE(home)2-1NB I
Jul 23, 2011Vasas(away)2-1NB I
Pápa
DateOpponentScoreCompetition
Aug 20, 2011Debreceni VSC(home)0-2NB I
Aug 13, 2011Diosgyori VTK(away)0-2NB I
Aug 6, 2011Kaposvar(home)1-0NB I
Jul 31, 2011Paks(away)1-1NB I
Jul 23, 2011Siofok(home)2-0NB I

How many goals should we expect?

Pécsi MFC score 1.5 and concede 1.3 goals per match over their last 6; Pápa score 0.8 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pécsi MFC1.51.324/64/6
Pápa0.80.831/60/6

Over the last 6 matches in all competitions.

A question about Pécsi MFC 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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