Match

Chayka vs Kalush: result 0-0 and analysis

Druha LigaRegular Season - 2Kick-off on July 28, 2018 at 03:00 PM (UTC)Tsentralnyi stadion im. Mikhaila Brukvenka, Makariv

Chayka
0-0
Kalush

Full time

What was the result of Chayka vs Kalush?

Chayka and Kalush drew 0-0 on July 28, 2018.

Official lineup for Chayka vs Kalush

The starting elevens fielded at kick-off.

Chayka

  1. OOleksandr Yatsyuchenko
  1. RR. Miroshnikov
  2. AA. Tsurupin
  3. SSadeg Mokhamed
  4. AA. Grishin
  1. SSerhii Ponomarenko
  2. RRoman Pomazan
  3. SSvyatoslav Grabchak
  4. AAnton Ziptser
  5. DDmytro Mokhnachuk
  1. AAnton Musienko

Kalush

  1. AAndrii Kokhman
  1. VV. Kucherov
  2. BBohdan Denega
  3. OOstap Ilyuk
  4. VVladyslav Tanchyn
  5. YY. Holubka
  6. YY. Olevych
  1. AAnatolii Ulyanov
  2. OO. Matushevskyi
  3. VVolodymyr Zavalyak
  1. RR. Herych
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What is the recent form of both teams?

Over their last 5 matches in all competitions, Chayka have 2 wins, 0 draws and 3 defeats; Kalush have 1, 1 and 0.

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

Chayka
DateOpponentScoreCompetition
Jul 22, 2018Bukovyna(away)3-0Druha Liga
Jul 17, 2018Tavriya(away)0-1Cup
Jul 9, 2017Ruh Lviv(home)0-2Cup
Aug 23, 2014Karpaty(home)0-4Cup
Aug 6, 2014Enerhiya Nova Kakhovka(home)3-0Cup
Kalush
DateOpponentScoreCompetition
Jul 22, 2018Minai(home)1-0Druha Liga
Jul 18, 2018Bukovyna(home)2-2Cup

How many goals should we expect?

Chayka score 1.2 and concede 1.4 goals per match over their last 5; Kalush score 1.5 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chayka1.21.420/53/5
Kalush1.51.011/21/2

Over the last 5 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
3Chayka301767584157

A question about Chayka vs Kalush?

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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