Match

Kalush vs Uzhhorod: result 2-1 and analysis

Druha LigaGroup A - 3Kick-off on August 11, 2019 at 02:00 PM (UTC)Stadion Khimik, Kalush

Kalush
2-1
Uzhhorod

Full time

What was the result of Kalush vs Uzhhorod?

Kalush won 2-1 on August 11, 2019.

Goalscorers

  • 40′S. MashtalirUzhhorod
  • 47′D. KnyshKalush
  • 60′Volodymyr SavoshkoKalush

Official lineup for Kalush vs Uzhhorod

The starting elevens fielded at kick-off.

Kalush

  1. DD. Knysh
  1. RRoman Lebed
  2. VVolodymyr Savoshko
  3. BBohdan Denega
  4. IIhor Bogach
  5. II. Legkyi
  1. VVolodymyr Senytsya
  2. IIhor Poruchynskyi
  3. VVolodymyr Zavalyak
  4. SSvyatoslav Lavruk
  1. YY. Popovych

Uzhhorod

  1. AA. Korolchuk
  2. VViktor Masikevych
  1. AAdrian Pukanych
  2. VV. Pavlenko
  3. VViktor Ryashko
  1. KK. Pasichnik
  2. SStanislav Kotjo
  3. SS. Fedak
  4. VVadym Seleshchuk
  5. SS. Mashtalir
  1. MMyroslav Lyutnyanskyy
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kalush have 4 wins, 2 draws and 9 defeats; Uzhhorod have 1, 0 and 1.

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

Kalush
DateOpponentScoreCompetition
Aug 3, 2019Nyva Vinnytsya(away)3-0Druha Liga
Jul 28, 2019Chayka(home)0-0Druha Liga
May 25, 2019Bukovyna(home)1-3Druha Liga
May 19, 2019Cherkashchyna-Akademiya(away)1-3Druha Liga
May 15, 2019Nyva Ternopil(home)4-3Druha Liga
Uzhhorod
DateOpponentScoreCompetition
Aug 3, 2019Polessya(home)1-2Druha Liga
Jul 27, 2019Bukovyna(away)3-1Druha Liga

How many goals should we expect?

Kalush score 1.2 and concede 1.7 goals per match over their last 15; Uzhhorod score 2.0 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kalush1.21.758/1510/15
Uzhhorod2.01.502/22/2

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
6Uzhhorod3013512403744

A question about Kalush vs Uzhhorod?

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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