Match

Pécsi MFC vs Mezokovesd-zsory: result 2-1 and analysis

Magyar Kupa4th RoundKick-off on October 30, 2013 at 05:00 PM (UTC)PMFC Stadion, Pécs

Pécsi MFC
2-1
Mezokovesd-zsory

Full time

What was the result of Pécsi MFC vs Mezokovesd-zsory?

Pécsi MFC won 2-1 on October 30, 2013.

Goalscorers

  • 19′K. KollerPécsi MFC
  • 51′L. SzatmáriPécsi MFC
  • 54′Zoltán HarsányiMezokovesd-zsory

Official lineup for Pécsi MFC vs Mezokovesd-zsory

The starting elevens fielded at kick-off.

Pécsi MFC

  1. KK. Koller
  2. FF. Rácz
  3. DD. Márkvárt
  1. JJ. Nagy
  2. EE. Uzoma
  3. LL. Szatmári
  4. RRoland Frölich
  1. BB. Balogh
  2. DDávid Mohl
  3. DDanijel Romić
  1. GG. Göcze

Mezokovesd-zsory

  1. DDávid Hegedűs
  2. MM. Kiss
  3. LL. Pilibaitis
  4. AAttila Dobos
  5. VV. Melczer
  6. II. Bognár
  7. ZZoltán Harsányi
  1. ZZ. Gévay
  2. VV. Szalai
  3. CC. Hegedűs
  1. TT. Horváth
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Pécsi MFC have 6 wins, 2 draws and 7 defeats; Mezokovesd-zsory have 6, 2 and 7.

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

Pécsi MFC
DateOpponentScoreCompetition
Oct 26, 2013Kaposvar(home)3-1NB I
Oct 19, 2013Budapest Honved(away)1-3NB I
Oct 5, 2013Puskas Academy(home)1-2NB I
Sep 29, 2013Ujpest(away)1-1NB I
Sep 20, 2013Pápa(home)1-3NB I
Mezokovesd-zsory
DateOpponentScoreCompetition
Oct 26, 2013Ferencvarosi TC(away)1-1NB I
Oct 18, 2013Szombathelyi Haladas(home)0-2NB I
Oct 5, 2013Diosgyori VTK(away)0-5NB I
Sep 27, 2013Paks(away)1-1NB I
Sep 24, 2013Kazincbarcikai(away)4-3Magyar Kupa

How many goals should we expect?

Pécsi MFC score 1.5 and concede 1.7 goals per match over their last 15; Mezokovesd-zsory score 1.7 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pécsi MFC1.51.7113/1511/15
Mezokovesd-zsory1.72.037/158/15

Over the last 15 matches in all competitions.

A question about Pécsi MFC vs Mezokovesd-zsory?

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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Next match: Pécsi MFC and Mezokovesd-zsory