Match

Tiszakanyár SE vs Dunakanyar-Vác: result 1-2 and analysis

Magyar Kupa3rd RoundKick-off on October 31, 2012 at 11:30 AM (UTC)Móricz utca

Tiszakanyár SE
1-2
Dunakanyar-Vác

Full time

What was the result of Tiszakanyár SE vs Dunakanyar-Vác?

Dunakanyar-Vác won 1-2 on October 31, 2012.

Goalscorers

  • 25′Roland PapDunakanyar-Vác
  • 42′Peter BalazsiTiszakanyár SE
  • 78′G. GulyásDunakanyar-Vác

Official lineup for Tiszakanyár SE vs Dunakanyar-Vác

The starting elevens fielded at kick-off.

Tiszakanyár SE

  1. PPeter Balazsi
  1. AAristide Die
  2. IIstván Makai
  3. SSándor Gombkötő
  4. IIstván Morauszki
  5. TTibor Deák
  1. MMáté Dolhai
  2. BB. Pócsi
  3. GGyörgy Koskovits
  4. BBalázs Gergely
  1. GGábor Szobonya

Dunakanyar-Vác

  1. RRoland Pap
  2. DD. Hagymási
  3. PP. Kelemen
  1. GG. Rása
  2. GG. Gulyás
  3. PP. Király
  1. VV. Benke
  2. TT. Petrezselyem
  3. PP. Farkas
  4. MM. Króner
  1. MM. Racz
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What is the recent form of both teams?

In their last match in all competitions, Tiszakanyár SE have 1 win, 0 draws and 0 defeats; Dunakanyar-Vác have 1, 1 and 1.

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

Tiszakanyár SE
DateOpponentScoreCompetition
Aug 12, 2012Szikszó-Tomor-Lak(away)2-0Magyar Kupa
Dunakanyar-Vác
DateOpponentScoreCompetition
Sep 26, 2012Jászapáti VSE(away)1-0Magyar Kupa
Aug 8, 2012MTK Budapest(home)4-4Magyar Kupa
Sep 21, 2011Ujpest(home)1-4Magyar Kupa

How many goals should we expect?

Tiszakanyár SE score 2.0 and concede 0.0 goals per match in their last match; Dunakanyar-Vác score 2.0 and concede 2.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tiszakanyár SE2.00.010/10/1
Dunakanyar-Vác2.02.712/32/3

Over the last match in all competitions.

A question about Tiszakanyár SE vs Dunakanyar-Vác?

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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