Match

MTK Budapest vs Pécsi MFC: result 0-1 and analysis

Magyar Kupa8th FinalsKick-off on November 30, 2011 at 04:30 PM (UTC)Hidegkuti Nándor Stadion, Budapest

MTK Budapest
0-1
Pécsi MFC

Full time

What was the result of MTK Budapest vs Pécsi MFC?

Pécsi MFC won 0-1 on November 30, 2011.

Goalscorers

  • 66′Csaba RegedeiPécsi MFC (pen.)

Official lineup for MTK Budapest vs Pécsi MFC

The starting elevens fielded at kick-off.

MTK Budapest

  1. NNorbert Gábor Csiki
  2. KK. Németh
  3. NN. Könyves
  1. TT. Ladányi
  2. SS. Hajdú
  3. SS. Macura
  4. DD. Kálnoki-Kis
  1. AAdrián Szekeres
  2. DD. Vadnai
  3. DDragan Vukmir
  1. FF. Groppioni

Pécsi MFC

  1. PPéter Bajzát
  1. GG. Demjén
  2. DDavid Pákolicz
  3. ZZoran Zeljkovic
  4. LLevente Lantos
  5. MM. Šćepanović
  1. CCsaba Regedei
  2. NNenad Todorovic
  3. MMarko Marovic
  4. GG. Simonfalvi
  1. DD. Dibusz
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MTK Budapest have 12 wins, 2 draws and 1 defeat; Pécsi MFC have 5, 7 and 3.

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

MTK Budapest
DateOpponentScoreCompetition
Nov 27, 2011Gyori ETO II(away)0-0NB II
Nov 23, 2011Ferencváros II(away)1-0NB II
Nov 19, 2011SZTK-Erima(home)0-0NB II
Nov 5, 2011Soproni VSE(home)4-0NB II
Oct 29, 2011Bajai(away)4-1NB II
Pécsi MFC
DateOpponentScoreCompetition
Nov 26, 2011Vasas(home)5-1NB I
Nov 19, 2011Szombathelyi Haladas(away)0-0NB I
Nov 5, 2011Budapest Honved(away)1-1NB I
Oct 29, 2011Gyori ETO FC(home)3-1NB I
Oct 26, 2011Csakvar(away)3-2Magyar Kupa

How many goals should we expect?

MTK Budapest score 2.5 and concede 0.6 goals per match over their last 15; Pécsi MFC score 1.8 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MTK Budapest2.50.696/159/15
Pécsi MFC1.81.7311/1510/15

Over the last 15 matches in all competitions.

A question about MTK Budapest vs Pécsi MFC?

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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