Match

Szombathelyi Haladas vs Eger: result 4-2 and analysis

NB IRegular Season - 1Kick-off on July 27, 2012 at 03:00 PM (UTC)Városi Stadion, Sopron

Szombathelyi Haladas
4-2
Eger

Full time

What was the result of Szombathelyi Haladas vs Eger?

Szombathelyi Haladas won 4-2 on July 27, 2012.

Goalscorers

  • 45′Igor PisanjukEger
  • 50′K. KeneseiSzombathelyi Haladas
  • 52′Péter HalmosiSzombathelyi Haladas
  • 58′B. IszlaiSzombathelyi Haladas (pen.)
  • 63′Péter AndorkaSzombathelyi Haladas (pen.)
  • 74′Norbert NémethEger

Official lineup for Szombathelyi Haladas vs Eger

The starting elevens fielded at kick-off.

Szombathelyi Haladas

  1. 20K. Kenesei
  2. 32A. Radó
  1. 4Gábor Rajos
  2. 8Gábor Nagy
  3. 13Péter Halmosi
  4. 21Dániel Nagy
  5. 90B. Iszlai
  1. 15Péter Toth
  2. 22Richárd Guzmics
  3. 23Szabolcs Schimmer
  1. 66Dániel Rózsa

Eger

  1. 21Igor Pisanjuk
  2. 27G. Koós
  1. 5Cedomir Pavicevic
  2. 22Saša Dobrić
  1. 3P. Knakal
  2. 4Gábor Kovács
  3. 6M. Stanislaw
  4. 12J. Hamouz
  5. 14C. Preklet
  6. 18A. Katona
  1. 26G. Sztankó
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Szombathelyi Haladas have 5 wins, 7 draws and 3 defeats; Eger have 0, 1 and 0.

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

Szombathelyi Haladas
DateOpponentScoreCompetition
May 26, 2012Debreceni VSC(away)0-2NB I
May 20, 2012Diosgyori VTK(home)2-1NB I
May 12, 2012Kaposvar(away)1-1NB I
May 5, 2012Paks(home)5-0NB I
Apr 28, 2012Siofok(away)2-0NB I
Eger
DateOpponentScoreCompetition
Sep 21, 2011Diosgyori VTK(home)0-0Magyar Kupa

How many goals should we expect?

Szombathelyi Haladas score 1.5 and concede 0.9 goals per match over their last 15; Eger score 0.0 and concede 0.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Szombathelyi Haladas1.50.948/156/15
Eger0.00.010/10/1

Over the last 15 matches in all competitions.

A question about Szombathelyi Haladas vs Eger?

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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