Match

Chayka vs Kalush: prediction and stats

Druha LigaGroup A - 10Kick-off on November 7, 2020 at 12:00 AM (UTC)Tsentralnyi stadion im. Mikhaila Brukvenka, Makariv

ChaykaKalush

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Chayka have 6 wins, 5 draws and 4 defeats; Kalush have 6, 3 and 6.

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

Chayka
DateOpponentScoreCompetition
Nov 1, 2020Volyn Lutsk II(away)4-1Druha Liga
Oct 24, 2020Podillya Khmelnytskyi(home)0-0Druha Liga
Oct 18, 2020Karpaty(away)1-1Druha Liga
Oct 10, 2020Nyva Vinnytsya(home)3-1Druha Liga
Oct 4, 2020Epitsentr Dunayivtsi(away)1-1Druha Liga
Kalush
DateOpponentScoreCompetition
Nov 23, 2019Veres Rivne(home)2-1Druha Liga
Nov 16, 2019Podillya Khmelnytskyi(away)0-1Druha Liga
Nov 3, 2019Polessya(home)0-2Druha Liga
Oct 27, 2019Bukovyna(away)2-1Druha Liga
Oct 23, 2019Dinaz Vyshhorod(home)1-1Druha Liga

What does the head-to-head say?

Across the last 5 meetings: 2 Chayka wins, 2 draws, 1 Kalush win.

DateScoreCompetition
Sep 28, 2019Chayka 1-0 KalushDruha Liga
Jul 28, 2019Kalush 0-0 ChaykaDruha Liga
Apr 25, 2019Chayka 2-1 KalushDruha Liga
Sep 30, 2018Kalush 1-0 ChaykaDruha Liga
Jul 28, 2018Chayka 0-0 KalushDruha Liga

Last archived meeting: Chayka vs Kalush on Sep 28, 2019

How many goals should we expect?

Chayka score 1.7 and concede 1.4 goals per match over their last 15; Kalush score 1.3 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chayka1.71.4210/1510/15
Kalush1.31.136/155/15

Over the last 15 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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