Match

Puskas Academy vs Siofok: result 1-0 and analysis

NB IIRegular Season - 13Kick-off on October 16, 2016 at 03:00 PM (UTC)Puskás Akadémia Pancho Aréna, Felcsút

Puskas Academy
1-0
Siofok

Full time

What was the result of Puskas Academy vs Siofok?

Puskas Academy won 1-0 on October 16, 2016.

Goalscorers

  • 36′V. VanczákPuskas Academy

Official lineup for Puskas Academy vs Siofok

The starting elevens fielded at kick-off.

Puskas Academy

  1. DD. Márkvárt
  2. LL. Lencse
  3. ZZ. Óvári
  1. SS. Fényes
  2. LL. Zsidai
  3. ZZ. Gajdos
  4. CC. Molnár
  1. VV. Vanczák
  2. TTibor Heffler
  3. CC. Spandler
  1. LL. Hegedüs

Siofok

  1. PP. Berki
  2. AAlexander Pendl
  1. DDániel Nagy
  2. MM. Petneházi
  3. IIstván Berde
  4. MM. Gál
  5. RRichárd Kozma
  1. VV. Szalai
  2. NN. Farkas
  3. MM. Czingráber
  1. BB. Filipánics
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Puskas Academy have 7 wins, 4 draws and 4 defeats; Siofok have 7, 0 and 8.

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

Puskas Academy
DateOpponentScoreCompetition
Oct 2, 2016MTE 1904(away)1-2NB II
Sep 25, 2016Zalaegerszegi TE(home)2-2NB II
Sep 21, 2016Tatai(away)5-0Magyar Kupa
Sep 18, 2016VAC(away)3-3NB II
Sep 14, 2016Csakvar(home)1-0NB II
Siofok
DateOpponentScoreCompetition
Oct 2, 2016Szolnoki MAV FC(home)0-1NB II
Sep 25, 2016Soroksar(away)1-6NB II
Sep 21, 2016REAC(away)0-2Magyar Kupa
Sep 18, 2016Budaorsi SC(home)2-0NB II
Sep 14, 2016Balmazujvaros(away)1-0NB II

How many goals should we expect?

Puskas Academy score 2.1 and concede 1.7 goals per match over their last 15; Siofok score 1.3 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Puskas Academy2.11.7310/1512/15
Siofok1.31.936/157/15

Over the last 15 matches in all competitions.

A question about Puskas Academy vs Siofok?

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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