Match

Poprad vs Haniska: result 4-1 and analysis

2. ligaRegular Season - 3Kick-off on August 20, 2016 at 05:00 PM (UTC)Futbalový štadion NTC Poprad, Poprad

Poprad
4-1
Haniska

Full time

What was the result of Poprad vs Haniska?

Poprad won 4-1 on August 20, 2016.

Goalscorers

  • 2′V. MaťašPoprad
  • 11′205276Haniska
  • 31′205269Poprad
  • 69′R. BilasPoprad
  • 82′A. AlekouPoprad

Official lineup for Poprad vs Haniska

The starting elevens fielded at kick-off.

Poprad

  1. 9V. Maťaš
  1. 10Pëllumb Jusufi
  2. 14R. Bilas
  3. 2S. Kica
  4. 3V. Palša
  5. 7S. Gruca
  6. 11R. Ujcik
  7. 16M. Poliaček
  1. 17T. Peciar
  2. 24J. Hatok
  1. 30J. Malec

Haniska

  1. 12Rômulo
  1. 9M. Hrubovčák
  2. 10S. Beck
  3. 18P. Pástor
  4. 2F. Maník
  5. 11S. Cuprišin
  6. 13M. Molnar
  7. 14M. Horváth
  8. 21S. Macák
  9. 33S. Suchý
  1. 20D. Lukáč
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Poprad have 1 win, 1 draw and 0 defeats; Haniska have 0, 1 and 1.

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

Poprad
DateOpponentScoreCompetition
Aug 13, 2016Lipany(away)3-12. liga
Aug 6, 2016Lokomotíva Zvolen(home)2-22. liga
Haniska
DateOpponentScoreCompetition
Aug 13, 2016Lokomotíva Zvolen(home)2-22. liga
Aug 6, 2016Partizán Bardejov(away)0-42. liga

How many goals should we expect?

Poprad score 2.5 and concede 1.5 goals per match over their last 2; Haniska score 1.0 and concede 3.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Poprad2.51.502/22/2
Haniska1.03.001/22/2

Over the last 2 matches in all competitions.

A question about Poprad vs Haniska?

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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