Match

Podillya Khmelnytskyi vs Kalush: result 0-1 and analysis

Druha LigaRegular Season - 20Kick-off on April 19, 2019 at 02:00 PM (UTC)Stadion Podillia, Khmelnytskyi

Podillya Khmelnytskyi
0-1
Kalush

Full time

What was the result of Podillya Khmelnytskyi vs Kalush?

Kalush won 0-1 on April 19, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Podillya Khmelnytskyi have 4 wins, 3 draws and 8 defeats; Kalush have 6, 4 and 5.

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

Podillya Khmelnytskyi
DateOpponentScoreCompetition
Apr 13, 2019Cherkashchyna-Akademiya(away)0-3Druha Liga
Apr 6, 2019Kalush(home)2-1Druha Liga
Nov 11, 2018Cherkashchyna-Akademiya(away)1-3Druha Liga
Nov 3, 2018Bukovyna(home)0-0Druha Liga
Oct 28, 2018Nyva Ternopil(away)0-1Druha Liga
Kalush
DateOpponentScoreCompetition
Apr 13, 2019Veres Rivne(home)0-0Druha Liga
Apr 6, 2019Podillya Khmelnytskyi(away)1-2Druha Liga
Nov 11, 2018Bukovyna(home)2-0Druha Liga
Nov 3, 2018Nyva Vinnytsya(away)0-1Druha Liga
Oct 31, 2018Dnipro-1(home)0-3Cup

What does the head-to-head say?

Across the last 2 meetings: 1 Podillya Khmelnytskyi win, 1 draw, 0 Kalush wins.

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

Last archived meeting: Podillya Khmelnytskyi vs Kalush on Apr 6, 2019

How many goals should we expect?

Podillya Khmelnytskyi score 0.9 and concede 1.2 goals per match over their last 15; Kalush score 0.9 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Podillya Khmelnytskyi0.91.255/156/15
Kalush0.90.874/154/15

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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