Match

VAC vs Ajka: result 2-1 and analysis

NB IIRegular Season - 13Kick-off on November 7, 2015 at 12:30 PM (UTC)Ligeti stadion, Vác

VAC
2-1
Ajka

Full time

What was the result of VAC vs Ajka?

VAC won 2-1 on November 7, 2015.

Goalscorers

  • 25′G. RusvayVAC
  • 71′Mátyás MagosVAC
  • 72′D. OlaszAjka

Official lineup for VAC vs Ajka

The starting elevens fielded at kick-off.

VAC

  1. PP. Pölöskei
  2. RR. Zsolnai
  1. GG. Rusvay
  2. BB. Tóth
  3. DD. Obot
  1. AAndrás Dlusztus
  2. CC. Hegedűs
  3. GG. Tányéros
  4. DD. Görgényi
  5. GG. Tóth
  1. DDávid Palásthy

Ajka

  1. TThomas Babatunde Sowunmi
  2. DD. Olasz
  3. BB. Pavlitzky
  1. NN. Lattenstein
  2. DDaniel Kovacs
  1. AAttila Császár
  2. ZZ. Gunther
  3. GG. Pakai
  4. MM. Zsirai
  5. DDávid Pesti
  1. TT. Jánosa
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What is the recent form of both teams?

Over their last 15 matches in all competitions, VAC have 2 wins, 2 draws and 11 defeats; Ajka have 6, 3 and 6.

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

VAC
DateOpponentScoreCompetition
Oct 31, 2015Soroksar(away)1-2NB II
Oct 24, 2015Kisvarda FC(home)1-1NB II
Oct 18, 2015Szeged 2011(away)1-1NB II
Oct 3, 2015Gyirmot SE(home)0-1NB II
Sep 27, 2015Csakvar(away)1-2NB II
Ajka
DateOpponentScoreCompetition
Oct 31, 2015Dunaújváros-Pálhalma(home)0-6NB II
Oct 24, 2015Mezokovesd-zsory(away)2-2NB II
Oct 18, 2015Budaörs(home)1-0NB II
Oct 15, 2015Szeged 2011(away)0-1Magyar Kupa
Oct 3, 2015SZTK-Erima(away)0-2NB II

How many goals should we expect?

VAC score 0.7 and concede 1.8 goals per match over their last 15; Ajka score 1.2 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
VAC0.71.827/158/15
Ajka1.21.454/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
6Ajka9432131115

A question about VAC 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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