Match

Pécsi MFC vs Kaposvar: result 1-1 and analysis

NB IRegular Season - 11Kick-off on October 1, 2011 at 04:00 PM (UTC)PMFC Stadion, Pécs

Pécsi MFC
1-1
Kaposvar

Full time

What was the result of Pécsi MFC vs Kaposvar?

Pécsi MFC and Kaposvar drew 1-1 on October 1, 2011.

Goalscorers

  • 23′Milan PerićKaposvar
  • 25′Péter AndorkaPécsi MFC

Official lineup for Pécsi MFC vs Kaposvar

The starting elevens fielded at kick-off.

Pécsi MFC

  1. 9Péter Andorka
  2. 81Péter Bajzát
  1. 7Zoran Zeljkovic
  2. 11G. Demjén
  3. 18Levente Lantos
  1. 8Attila Pinter
  2. 17Csaba Regedei
  3. 28Nenad Todorovic
  4. 36Marko Marovic
  5. 61G. Simonfalvi
  1. 12D. Dibusz

Kaposvar

  1. 3Milan Perić
  1. 5István Bank
  2. 7Boris Gujic
  3. 10Kornél Kulcsár
  4. 11Daniane Jawad
  1. 13Dražen Okuka
  2. 17Petar Mudreša
  3. 18B. Balázs
  4. 28G. Jánvári
  5. 33Pedro Sass
  1. 21Ľuboš Hajdúch
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What is the recent form of both teams?

Over their last 11 matches in all competitions, Pécsi MFC have 6 wins, 3 draws and 2 defeats; Kaposvar have 2, 5 and 4.

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

Pécsi MFC
DateOpponentScoreCompetition
Sep 24, 2011Paks(away)4-4NB I
Sep 21, 2011Paksi SE II(away)3-0Magyar Kupa
Sep 17, 2011Siofok(home)1-1NB I
Sep 10, 2011Ujpest(away)1-4NB I
Aug 27, 2011Pápa(home)2-1NB I
Kaposvar
DateOpponentScoreCompetition
Sep 24, 2011Debreceni VSC(home)1-1NB I
Sep 21, 2011Andráshida(away)2-0Magyar Kupa
Sep 16, 2011Diosgyori VTK(away)1-2NB I
Sep 10, 2011Gyori ETO FC(home)0-0NB I
Aug 27, 2011Paks(home)4-4NB I

How many goals should we expect?

Pécsi MFC score 1.8 and concede 1.6 goals per match over their last 11; Kaposvar score 1.4 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pécsi MFC1.81.638/118/11
Kaposvar1.41.736/116/11

Over the last 11 matches in all competitions.

A question about Pécsi MFC vs Kaposvar?

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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