Match

Šamorín vs Lipany: result 2-2 and analysis

2. ligaRegular Season - 13Kick-off on October 14, 2018 at 01:00 PM (UTC)Mestský štadión, Šamorín

Šamorín
2-2
Lipany

Full time

What was the result of Šamorín vs Lipany?

Šamorín and Lipany drew 2-2 on October 14, 2018.

Goalscorers

  • 4′J. ČuntaŠamorín
  • 17′107597Lipany
  • 26′205077Lipany
  • 90′204926Šamorín

Official lineup for Šamorín vs Lipany

The starting elevens fielded at kick-off.

Šamorín

  1. 10Matheus Pato
  2. 29Peu
  1. 4J. Čunta
  2. 9M. Almaský
  3. 18L. Hruška
  4. 25K. Knotek
  5. 1D. Rožník
  1. 3Marián Štrbák
  2. 8Š. Šmehyl
  3. 14P. Jánošík
  4. 15D. Marič-bjekič

Lipany

  1. 8M. Vilkovský
  1. 7S. Kraľovič
  2. 11Marcel Vysočan
  3. 20B. Poremba
  4. 23R. Kamenec
  5. 4J. Bujňák
  6. 17L. Janič
  7. 21D. Haščák
  1. 6F. Špak
  2. 10J. Dlugoš
  1. 1P. Bartoš
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Šamorín have 5 wins, 3 draws and 7 defeats; Lipany have 3, 0 and 12.

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

Šamorín
DateOpponentScoreCompetition
Oct 6, 2018Komárno(away)3-12. liga
Sep 28, 2018Žilina II(home)6-02. liga
Sep 21, 2018Lokomotíva Košice(away)0-12. liga
Sep 15, 2018Poprad(home)0-42. liga
Sep 8, 2018Skalica(away)0-22. liga
Lipany
DateOpponentScoreCompetition
Oct 6, 2018Dubnica(home)2-52. liga
Sep 29, 2018Komárno(away)0-42. liga
Sep 22, 2018Petržalka(home)0-22. liga
Sep 16, 2018Žilina II(away)0-32. liga
Sep 8, 2018Partizán Bardejov(home)2-02. liga

How many goals should we expect?

Šamorín score 1.5 and concede 1.7 goals per match over their last 15; Lipany score 0.6 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Šamorín1.51.727/1510/15
Lipany0.62.334/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
2Šamorín12912231328

A question about Šamorín vs Lipany?

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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