Match

Paksi SE II vs MTK Budapest: result 0-1 and analysis

NB IIRegular Season - 9Kick-off on October 16, 2011 at 12:30 PM (UTC)Paksi FC Stadion, Paks

Paksi SE II
0-1
MTK Budapest

Full time

What was the result of Paksi SE II vs MTK Budapest?

MTK Budapest won 0-1 on October 16, 2011.

Goalscorers

  • 88′Norbert Gábor CsikiMTK Budapest

Official lineup for Paksi SE II vs MTK Budapest

The starting elevens fielded at kick-off.

Paksi SE II

  1. JJozsef Magasfoldi
  2. IIstván Nagy
  3. RRoland Pap
  1. II. Meszaros
  2. NNorbert Heffler
  3. AA. Cziraki
  1. ÁÁ. Berkó
  2. MM. Szolomájer
  3. RR. Racskó
  4. PP. Blatt
  1. PP. Pokorni

MTK Budapest

  1. NNorbert Gábor Csiki
  2. PP. Tischler
  3. RR. Frank
  1. JJózsef Kanta
  2. LL. Zsidai
  3. MM. Nikházi
  4. TT. Ladányi
  1. AAdrián Szekeres
  2. DDragan Vukmir
  3. RRafe Raccini Wolfe
  1. LL. Hegedüs
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What is the recent form of both teams?

Over their last 9 matches in all competitions, Paksi SE II have 1 win, 3 draws and 5 defeats; MTK Budapest have 8, 0 and 1.

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

Paksi SE II
DateOpponentScoreCompetition
Oct 8, 2011Dunaújváros-Pálhalma(away)3-1NB II
Oct 2, 2011Kozarmisleny FC(home)1-2NB II
Sep 24, 2011Ajka(away)1-1NB II
Sep 21, 2011Pécsi MFC(home)0-3Magyar Kupa
Sep 18, 2011Gyirmot SE(home)0-1NB II
MTK Budapest
DateOpponentScoreCompetition
Oct 9, 2011Veszprém(home)5-1NB II
Oct 1, 2011Dunaújváros-Pálhalma(home)4-0NB II
Sep 24, 2011Kozarmisleny FC(away)5-3NB II
Sep 21, 2011REAC(home)4-0Magyar Kupa
Sep 17, 2011Ajka(home)1-2NB II

How many goals should we expect?

Paksi SE II score 0.9 and concede 1.6 goals per match over their last 9; MTK Budapest score 3.0 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Paksi SE II0.91.625/95/9
MTK Budapest3.00.945/97/9

Over the last 9 matches in all competitions.

A question about Paksi SE II vs MTK Budapest?

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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