Match

Budaorsi SC vs MTE 1904: result 0-2 and analysis

NB IIRegular Season - 9Kick-off on September 14, 2016 at 02:30 PM (UTC)Grosics Gyula Stadion, Tatabánya

Budaorsi SC
0-2
MTE 1904

Full time

What was the result of Budaorsi SC vs MTE 1904?

MTE 1904 won 0-2 on September 14, 2016.

Goalscorers

  • 3′J. BartosMTE 1904
  • 49′B. LakiMTE 1904

Official lineup for Budaorsi SC vs MTE 1904

The starting elevens fielded at kick-off.

Budaorsi SC

  1. PP. Bogáti
  2. MM. Sajbán
  3. CC. Bata
  4. DD. Csillag
  5. MMárió Deli János
  1. LLevente Horvath
  2. AAndrás Stieber
  1. NNorbert Ódé
  2. ÁÁ. Kinyik
  3. SS. Gál
  1. GG. Ordasi

MTE 1904

  1. BB. Laki
  2. MMilán Mayer
  3. JJ. Bartos
  1. RRoland Bohner
  2. MM. Jasarevic
  3. II. Deák
  1. BB. Koszó
  2. RRichárd Czár
  3. MM. Zsirai
  4. ÁÁ. Galambos
  1. PP. Tarczy
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Budaorsi SC have 7 wins, 2 draws and 6 defeats; MTE 1904 have 2, 2 and 8.

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

Budaorsi SC
DateOpponentScoreCompetition
Sep 11, 2016Zalaegerszegi TE(away)1-0NB II
Aug 28, 2016VAC(home)0-0NB II
Aug 24, 2016Csakvar(away)1-2NB II
Aug 21, 2016Cigand SE(home)3-0NB II
Aug 14, 2016Szeol Sc(away)0-1NB II
MTE 1904
DateOpponentScoreCompetition
Sep 11, 2016Balmazujvaros(home)1-2NB II
Aug 28, 2016Cegledi VSE(away)2-3NB II
Aug 24, 2016Szeged 2011(home)1-1NB II
Aug 21, 2016Dorogi FC(away)1-2NB II
Aug 14, 2016Nyiregyhaza(home)0-1NB II

How many goals should we expect?

Budaorsi SC score 1.2 and concede 0.7 goals per match over their last 15; MTE 1904 score 1.5 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Budaorsi SC1.20.773/156/15
MTE 19041.51.829/129/12

Over the last 15 matches in all competitions.

A question about Budaorsi SC vs MTE 1904?

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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