Match

Skalica vs Humenné: result 0-1 and analysis

2. ligaRegular Season - 15Kick-off on October 30, 2021 at 04:00 PM (UTC)Mestský štadión, Skalica

Skalica
0-1
Humenné

Full time

What was the result of Skalica vs Humenné?

Humenné won 0-1 on October 30, 2021.

Goalscorers

  • 20′M. MilunovićHumenné

Official lineup for Skalica vs Humenné

The starting elevens fielded at kick-off.

Skalica

  1. 25P. Voleský
  1. 11Daniel Šebesta
  2. 14Matúš Mader
  3. 17Tomáš Hambálek
  4. 18M. Nagy
  5. 19M. Mášík
  6. 21J. Kousal
  1. 3M. Černek
  2. 7J. Mizerák
  3. 24O. Rudzan
  1. 39M. Junas

Humenné

  1. 4M. Milunović
  2. 10E. Streňo
  1. 7J. Turík
  2. 8C. Vasiľ
  3. 16Š. Harvila
  1. 3J. Kuc
  2. 18J. Dzúrik
  3. 19I. Komjatý
  4. 22J. Hatok
  5. 55Martin Luberda
  1. 24D. Slávik
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Skalica have 12 wins, 2 draws and 1 defeat; Humenné have 11, 3 and 1.

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

Skalica
DateOpponentScoreCompetition
Oct 27, 2021Petržalka(home)2-02. liga
Oct 23, 2021Slovan Bratislava II(away)2-12. liga
Oct 19, 2021Kežmarok(away)3-0Cup
Oct 16, 2021Partizán Bardejov(home)2-02. liga
Oct 9, 2021Žilina II(away)2-02. liga
Humenné
DateOpponentScoreCompetition
Oct 27, 2021Galanta(away)2-1Cup
Oct 23, 2021Dukla Banská Bystrica(home)1-12. liga
Oct 17, 2021Rohožník(away)1-02. liga
Oct 13, 2021Partizán Bardejov(away)0-02. liga
Oct 9, 2021Námestovo(home)2-02. liga

How many goals should we expect?

Skalica score 2.1 and concede 0.4 goals per match over their last 15; Humenné score 1.7 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skalica2.10.4104/156/15
Humenné1.70.596/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
14Humenné16349142613

A question about Skalica vs Humenné?

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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