Match

Kisvarda FC vs MTK Budapest: result 1-0 and analysis

NB IIRegular Season - 18Kick-off on November 19, 2017 at 12:00 PM (UTC)Várkerti Stadion, Kisvárda

Kisvarda FC
1-0
MTK Budapest

Full time

What was the result of Kisvarda FC vs MTK Budapest?

Kisvarda FC won 1-0 on November 19, 2017.

Goalscorers

  • 16′R. LukácsKisvarda FC

Official lineup for Kisvarda FC vs MTK Budapest

The starting elevens fielded at kick-off.

Kisvarda FC

  1. BB. Melnyk
  2. BB. Vári
  3. BBrana Ilić
  4. RR. Lukács
  1. IIllés Zöldesi
  2. MMartin Izing
  3. MM. Mišić
  4. LLucas
  1. BB. Papucsek
  2. SS. Oltean
  3. MM. Ryashko

MTK Budapest

  1. PP. Vass
  2. SS. Torghelle
  1. ÁÁ. Vass
  2. GG. Bori
  3. AA. Schäfer
  4. KK. Korozmán
  1. BB. Deutsch
  2. GG. Gengeliczki
  3. ÁÁ. Baki
  4. DD. Gera
  1. TT. Fadgyas
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kisvarda FC have 11 wins, 3 draws and 1 defeat; MTK Budapest have 13, 0 and 2.

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

Kisvarda FC
DateOpponentScoreCompetition
Nov 12, 2017Szeged 2011(away)2-0NB II
Nov 5, 2017Kazincbarcikai(home)1-1NB II
Oct 29, 2017Soroksar(away)1-0NB II
Oct 24, 2017Ferencvarosi TC(home)1-0Magyar Kupa
Oct 21, 2017Dorogi FC(home)2-0NB II
MTK Budapest
DateOpponentScoreCompetition
Nov 12, 2017Zalaegerszegi TE(home)2-0NB II
Nov 5, 2017Gyori ETO FC(away)1-2NB II
Oct 29, 2017MTE 1904(home)6-1NB II
Oct 25, 2017Iváncsa(away)4-1Magyar Kupa
Oct 22, 2017Soproni VSE(away)4-0NB II

How many goals should we expect?

Kisvarda FC score 1.9 and concede 0.7 goals per match over their last 15; MTK Budapest score 3.3 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kisvarda FC1.90.796/157/15
MTK Budapest3.30.878/1511/15

Over the last 15 matches in all competitions.

A question about Kisvarda FC vs MTK Budapest?

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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