Match

MTK Budapest vs Cegledi VSE: result 2-1 and analysis

NB IIRegular Season - 2Kick-off on August 6, 2017 at 01:45 PM (UTC)Hidegkuti Nándor Stadion, Budapest

MTK Budapest
2-1
Cegledi VSE

Full time

What was the result of MTK Budapest vs Cegledi VSE?

MTK Budapest won 2-1 on August 6, 2017.

Goalscorers

  • 18′S. TorghelleMTK Budapest
  • 45′I. AlbertCegledi VSE
  • 79′S. TorghelleMTK Budapest

Official lineup for MTK Budapest vs Cegledi VSE

The starting elevens fielded at kick-off.

MTK Budapest

  1. PP. Vass
  2. SS. Torghelle
  3. LL. Lencse
  1. MM. Katona
  2. ÁÁ. Vass
  3. BBálint Borbély
  1. BB. Balogh
  2. BB. Deutsch
  3. GG. Gengeliczki
  4. RR. Takács
  1. VViktor Szentpéteri

Cegledi VSE

  1. JJ. Farkas
  2. TT. Hujber
  1. II. Sándor
  2. VV. Peszmeg
  3. AAlex Damásdi
  1. BBalasz Nanasi
  2. CC. Preklet
  3. AA. Farkas
  4. ÁÁkos Márk Virág
  5. DDávid Asztalos
  1. RR. Mursits
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MTK Budapest have 5 wins, 5 draws and 5 defeats; Cegledi VSE have 4, 6 and 5.

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

MTK Budapest
DateOpponentScoreCompetition
Jul 30, 2017Csakvar(away)2-1NB II
May 27, 2017Paks(away)1-1NB I
May 20, 2017Diosgyori VTK(home)0-0NB I
May 13, 2017Budapest Honved(away)1-2NB I
May 6, 2017Ferencvarosi TC(home)1-3NB I
Cegledi VSE
DateOpponentScoreCompetition
Jul 30, 2017Szeged 2011(home)1-2NB II
Jun 4, 2017Soproni VSE(home)1-0NB II
May 28, 2017Kisvarda FC(away)0-2NB II
May 21, 2017Puskas Academy(home)0-0NB II
May 14, 2017Szolnoki MAV FC(away)1-1NB II

How many goals should we expect?

MTK Budapest score 1.1 and concede 1.1 goals per match over their last 15; Cegledi VSE score 0.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MTK Budapest1.11.159/157/15
Cegledi VSE0.91.158/155/15

Over the last 15 matches in all competitions.

A question about MTK Budapest vs Cegledi VSE?

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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