Match

Skalica vs Podbrezová: result 3-1 and analysis

2. ligaMatchday 3Kick-off on August 3, 2019 at 05:00 PM (UTC)Mestský štadión, Skalica

Skalica
3-1
Podbrezová

Full time

What was the result of Skalica vs Podbrezová?

Skalica won 3-1 on August 3, 2019.

Goalscorers

  • 17′M. PopovićSkalica
  • 64′R. HašaSkalica (pen.)
  • 68′R. HašaSkalica
  • 87′Nicolas MejriPodbrezová

Official lineup for Skalica vs Podbrezová

The starting elevens fielded at kick-off.

Skalica

  1. 23R. Haša
  1. 4Karol Karlik
  2. 10Marek Frimmel
  3. 11Daniel Šebesta
  4. 18M. Nagy
  5. 19M. Mášík
  6. 42L. Opiela
  1. 13Lukas Hlavatovic
  2. 26F. Blažek
  3. 33M. Popović
  1. 39M. Junas

Podbrezová

  1. 9J. Šulc
  2. 33M. Marcin
  1. 17Dávid Leško
  2. 19J. Chvátal
  3. 24J. Špyrka
  4. 21P. Liptak
  5. 22J. Hric
  1. 3J. Mizerák
  2. 5D. Straňák
  3. 15R. Paraj
  1. 1P. Macej
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Skalica have 7 wins, 2 draws and 6 defeats; Podbrezová have 2, 6 and 7.

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

Skalica
DateOpponentScoreCompetition
Jul 28, 2019Slovan Bratislava II(away)0-42. liga
Jul 20, 2019Púchov(home)1-02. liga
May 24, 2019Dubnica(home)1-02. liga
May 18, 2019Petržalka(away)2-22. liga
May 11, 2019Partizán Bardejov(home)1-22. liga
Podbrezová
DateOpponentScoreCompetition
Jul 26, 2019Poprad(home)0-32. liga
Jul 19, 2019FK Košice(home)2-12. liga
May 24, 2019Senica(home)1-0Super Liga
May 18, 2019AS Trencin(away)0-4Super Liga
May 11, 2019Spartak Trnava(away)1-3Super Liga

How many goals should we expect?

Skalica score 1.3 and concede 1.3 goals per match over their last 15; Podbrezová score 0.6 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skalica1.31.356/158/15
Podbrezová0.61.446/156/15

Over the last 15 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

Other matches in the same round

Next match: Skalica and Podbrezová