Match

Vasas vs Monori Se: result 2-1 and analysis

NB IIRegular Season - 1Kick-off on July 29, 2018 at 05:00 PM (UTC)Illovszky Rudolf Stadion, Budapest

Vasas
2-1
Monori Se

Full time

What was the result of Vasas vs Monori Se?

Vasas won 2-1 on July 29, 2018.

Goalscorers

  • 12′K. HinoraVasas
  • 31′B. TóthMonori Se
  • 89′K. HinoraVasas

Official lineup for Vasas vs Monori Se

The starting elevens fielded at kick-off.

Vasas

  1. BBotond Birtalan
  2. AA. Hrepka
  3. MM. Ádám
  1. TT. Egerszegi
  2. ÁÁ. Rokszin
  3. BB. Murka
  1. TT. Vaskó
  2. ZZ. Szokol
  3. KK. Hinora
  4. ZZ. Szilágyi
  1. BB. Bese

Monori Se

  1. DDominik Szabó
  2. BB. Tóth
  1. MMilán Balogh
  2. GG. Bori
  3. SS. Szuhodovszki
  4. KKrisztián Hunya
  1. NNoel Fulop
  2. DD. Karacs
  3. MM. Sági
  4. DD. Pintér
  1. AA. Bozsó
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Vasas have 3 wins, 4 draws and 8 defeats; Monori Se have 1, 0 and 4.

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

Vasas
DateOpponentScoreCompetition
Jun 2, 2018Budapest Honved(away)1-3NB I
May 27, 2018Szombathelyi Haladas(home)1-0NB I
May 19, 2018Fehérvár FC(home)0-3NB I
May 12, 2018Ferencvarosi TC(away)1-1NB I
May 5, 2018Paks(home)0-1NB I
Monori Se
DateOpponentScoreCompetition
Oct 24, 2017Debreceni VSC(home)2-3Magyar Kupa
Sep 20, 2017ESMTK(away)1-0Magyar Kupa
Sep 21, 2016Szolnoki MAV FC(home)1-7Magyar Kupa
Aug 12, 2015Szeged 2011(home)1-3Magyar Kupa
Aug 9, 2014Balmazujvaros(home)2-4Magyar Kupa

How many goals should we expect?

Vasas score 0.9 and concede 1.7 goals per match over their last 15; Monori Se score 1.4 and concede 3.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vasas0.91.729/158/15
Monori Se1.43.414/54/5

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
1Vasas302046592664

A question about Vasas vs Monori Se?

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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