Match

Mezokovesd-zsory vs Pápa: result 0-2 and analysis

NB IMatchday 4Kick-off on August 17, 2013 at 05:00 PM (UTC)Városi Stadion, Mezőkövesd

Mezokovesd-zsory
0-2
Pápa

Full time

What was the result of Mezokovesd-zsory vs Pápa?

Pápa won 0-2 on August 17, 2013.

Goalscorers

  • 4′G. GriffithsPápa
  • 30′G. GriffithsPápa

Official lineup for Mezokovesd-zsory vs Pápa

The starting elevens fielded at kick-off.

Mezokovesd-zsory

  1. 10George Menougong
  2. 11Á. Balajti
  1. 7I. Bognár
  2. 14Balázs Farkas
  3. 18Béla Lakatos
  4. 24Dávid Hegedűs
  5. 33V. Melczer
  6. 99Attila Dobos
  1. 3V. Szalai
  2. 5Z. Gévay
  1. 1Levente Szántai

Pápa

  1. 19K. Kenesei
  2. 50G. Griffiths
  1. 4Gábor Tóth
  2. 11M. Orosz
  3. 22N. Maksimović
  1. 12Zoran Supic
  2. 13P. Struhár
  3. 20István Rodenbucher
  4. 28Otto Szabo
  5. 30C. Quintero
  1. 27Lajos Szücs
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What is the recent form of both teams?

Over their last 8 matches in all competitions, Mezokovesd-zsory have 4 wins, 0 draws and 4 defeats; Pápa have 4, 3 and 8.

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

Mezokovesd-zsory
DateOpponentScoreCompetition
Aug 10, 2013Kecskeméti TE(away)6-2NB I
Aug 7, 2013Szolnoki MAV FC(away)1-0Magyar Kupa
Aug 4, 2013Debreceni VSC(away)0-1NB I
Jul 27, 2013MTK Budapest(away)0-3NB I
Sep 26, 2012Létavértes SC(away)0-2Magyar Kupa
Pápa
DateOpponentScoreCompetition
Aug 10, 2013Kaposvar(home)1-0NB I
Aug 4, 2013Budapest Honved(away)1-0NB I
Jul 26, 2013Puskas Academy(home)1-1NB I
Jun 2, 2013Diosgyori VTK(away)1-1NB I
May 24, 2013Siofok(home)0-1NB I

How many goals should we expect?

Mezokovesd-zsory score 2.6 and concede 1.5 goals per match over their last 8; Pápa score 0.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mezokovesd-zsory2.61.523/85/8
Pápa0.91.335/153/15

Over the last 8 matches in all competitions.

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Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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