Match

Balmazujvaros vs Ujpest: result 0-1 and analysis

NB IRegular Season - 7Kick-off on August 26, 2017 at 04:00 PM (UTC)Balmazújvárosi Városi Sportpálya, Balmazújváros

Balmazujvaros
0-1
Ujpest

Full time

What was the result of Balmazujvaros vs Ujpest?

Ujpest won 0-1 on August 26, 2017.

Goalscorers

  • 63′K. SimonUjpest

Official lineup for Balmazujvaros vs Ujpest

The starting elevens fielded at kick-off.

Balmazujvaros

  1. 8B. Arabuli
  1. 7Yurii Gabovda
  2. 10E. Zsiga
  3. 13D. Sigér
  4. 19N. Andrić
  5. 33E. Uzoma
  6. 67I. Maisuradze
  1. 4A. Rus
  2. 5L. Tamás
  3. 26S. Vajda
  1. 88László Horváth

Ujpest

  1. 9P. Tischler
  1. 10D. Zsótér
  2. 16A. Salétros
  3. 18B. Sanković
  4. 26Dániel Nagy
  5. 28O. Nwobodo
  1. 5R. Litauszki
  2. 19M. Bojović
  3. 27B. Pávkovics
  4. 49B. Pauljević
  1. 1F. Pajović
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Balmazujvaros have 7 wins, 4 draws and 4 defeats; Ujpest have 4, 6 and 5.

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

Balmazujvaros
DateOpponentScoreCompetition
Aug 19, 2017Puskas Academy(away)1-2NB I
Aug 12, 2017Szombathelyi Haladas(away)1-3NB I
Aug 5, 2017Diosgyori VTK(home)4-0NB I
Jul 29, 2017Budapest Honved(away)2-2NB I
Jul 23, 2017Vasas(home)0-1NB I
Ujpest
DateOpponentScoreCompetition
Aug 19, 2017Diosgyori VTK(home)1-1NB I
Aug 12, 2017Budapest Honved(away)1-2NB I
Aug 6, 2017Vasas(home)1-0NB I
Jul 30, 2017Fehérvár FC(away)2-2NB I
Jul 23, 2017Ferencvarosi TC(home)2-2NB I

How many goals should we expect?

Balmazujvaros score 1.5 and concede 1.1 goals per match over their last 15; Ujpest score 1.4 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Balmazujvaros1.51.149/157/15
Ujpest1.41.6111/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4Ujpest9432181415

A question about Balmazujvaros vs Ujpest?

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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