Match

Tatabánya vs Ajka: result 2-0 and analysis

NB IIRegular Season - 7Kick-off on October 1, 2011 at 01:00 PM (UTC)Grosics Gyula Stadion, Tatabánya

Tatabánya
2-0
Ajka

Full time

What was the result of Tatabánya vs Ajka?

Tatabánya won 2-0 on October 1, 2011.

Goalscorers

  • 6′J. FarkasTatabánya
  • 41′Tamas MoriTatabánya

Official lineup for Tatabánya vs Ajka

The starting elevens fielded at kick-off.

Tatabánya

  1. IIllés Zsolt Sitku
  2. JJ. Farkas
  1. MMartin Izing
  2. TTamas Mori
  3. II. Deme
  4. DD. Lajtos
  5. DD. Milanovic
  1. AAttila Böjte
  2. LLászló Almási
  3. DD. Kiprich
  1. AAndrás Dombai

Ajka

  1. PPéter Mihalecz
  2. BB. Gaál
  3. RR. Szalai
  1. LL. Szabó
  1. GGábor Subicz
  2. MM. Sáller
  3. SS. Pothárn
  4. ZZ. Gunther
  5. GG. Pakai
  6. SS. Kovacs
  1. TT. Jánosa
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What is the recent form of both teams?

Over their last 7 matches in all competitions, Tatabánya have 4 wins, 1 draw and 2 defeats; Ajka have 4, 2 and 1.

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

Tatabánya
DateOpponentScoreCompetition
Sep 25, 2011Gyirmot SE(away)0-1NB II
Sep 21, 2011Gyori ETO II(away)0-0Magyar Kupa
Sep 18, 2011BKV Előre(home)0-2NB II
Sep 9, 2011Videoton II(away)3-1NB II
Sep 3, 2011Budaorsi SC(home)2-1NB II
Ajka
DateOpponentScoreCompetition
Sep 24, 2011Paksi SE II(home)1-1NB II
Sep 21, 2011Gyirmot SE(away)6-6Magyar Kupa
Sep 17, 2011MTK Budapest(away)2-1NB II
Sep 10, 2011Dunaújváros-Pálhalma(home)7-0NB II
Sep 3, 2011Kozarmisleny FC(away)0-1NB II

How many goals should we expect?

Tatabánya score 1.3 and concede 0.9 goals per match over their last 7; Ajka score 2.7 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tatabánya1.30.923/73/7
Ajka2.71.424/74/7

Over the last 7 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
7Ajka10433141315

A question about Tatabánya vs Ajka?

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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