Match

Cegledi VSE vs Balmazujvaros: result 0-1 and analysis

NB IIRegular Season - 11Kick-off on October 26, 2013 at 12:30 PM (UTC)Malomtó széli sporttelep, Cegléd

Cegledi VSE
0-1
Balmazujvaros

Full time

What was the result of Cegledi VSE vs Balmazujvaros?

Balmazujvaros won 0-1 on October 26, 2013.

Goalscorers

  • 83′F. SzőllősiBalmazujvaros

Official lineup for Cegledi VSE vs Balmazujvaros

The starting elevens fielded at kick-off.

Cegledi VSE

  1. AA. Markó
  2. GG. Koós
  1. NNorbert Lipusz
  2. ZZ. Kenderes
  3. DDávid Szabó
  4. LLászló Kormos
  1. JJános Miklósvári
  2. RRobson de Sousa Vasconcelos Goes
  3. LL. Makrai
  4. AA. Szala
  1. ZZoltán Miski

Balmazujvaros

  1. PP. Urbin
  2. DD. Tóth
  1. GG. Demjén
  2. RR. Nagy
  3. FF. Szőllősi
  4. ZZsolt Müller
  1. AA. Forgács
  2. AA. Virágh
  3. TT. Bokros
  4. FF. Papp
  1. TT. Mester
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Cegledi VSE have 5 wins, 2 draws and 8 defeats; Balmazujvaros have 7, 1 and 4.

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

Cegledi VSE
DateOpponentScoreCompetition
Oct 19, 2013Soproni VSE(away)3-2NB II
Oct 12, 2013Tatabánya(away)1-2NB II
Oct 5, 2013Zalaegerszegi TE(home)0-1NB II
Sep 28, 2013Nyiregyhaza(away)0-1NB II
Sep 21, 2013Vasas(home)2-3NB II
Balmazujvaros
DateOpponentScoreCompetition
Oct 20, 2013Zalaegerszegi TE(home)2-0NB II
Oct 12, 2013Nyiregyhaza(away)4-2NB II
Oct 6, 2013Vasas(home)1-0NB II
Sep 28, 2013Bekescsaba 1912(away)2-1NB II
Sep 22, 2013Dunaújváros-Pálhalma(home)2-3NB II

How many goals should we expect?

Cegledi VSE score 1.3 and concede 1.5 goals per match over their last 15; Balmazujvaros score 2.0 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Cegledi VSE1.31.536/157/15
Balmazujvaros2.01.637/129/12

Over the last 15 matches in all competitions.

A question about Cegledi VSE vs Balmazujvaros?

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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