Match

Podillya Khmelnytskyi vs Kalush: prediction and stats

Druha LigaGroup A - 9Kick-off on October 31, 2020 at 12:00 AM (UTC)Stadion Podillia, Khmelnytskyi

Podillya KhmelnytskyiKalush

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Podillya Khmelnytskyi have 6 wins, 6 draws and 3 defeats; Kalush have 6, 3 and 6.

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

Podillya Khmelnytskyi
DateOpponentScoreCompetition
Oct 24, 2020Chayka(away)0-0Druha Liga
Oct 17, 2020Nyva Vinnytsya(away)2-1Druha Liga
Oct 10, 2020Uzhhorod(home)2-1Druha Liga
Oct 3, 2020Bukovyna(away)0-0Druha Liga
Sep 27, 2020Dinaz Vyshhorod(home)3-3Druha 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 Podillya Khmelnytskyi wins, 1 draw, 2 Kalush wins.

DateScoreCompetition
Nov 16, 2019Podillya Khmelnytskyi 1-0 KalushDruha Liga
Sep 18, 2019Kalush 5-2 Podillya KhmelnytskyiDruha Liga
Apr 19, 2019Podillya Khmelnytskyi 0-1 KalushDruha Liga
Apr 6, 2019Podillya Khmelnytskyi 2-1 KalushDruha Liga
Sep 16, 2018Kalush 0-0 Podillya KhmelnytskyiDruha Liga

Last archived meeting: Podillya Khmelnytskyi vs Kalush on Nov 16, 2019

How many goals should we expect?

Podillya Khmelnytskyi score 1.1 and concede 0.8 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
Podillya Khmelnytskyi1.10.885/156/15
Kalush1.31.136/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4Podillya Khmelnytskyi9414161913

A question about Podillya Khmelnytskyi vs Kalush?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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Next match: Podillya Khmelnytskyi and Kalush

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