Match

Chayka vs Podillya Khmelnytskyi: result 2-0 and analysis

Druha LigaRegular Season - 24Kick-off on May 5, 2019 at 12:00 PM (UTC)Tsentralnyi stadion im. Mikhaila Brukvenka, Makariv

Chayka
2-0
Podillya Khmelnytskyi

Full time

What was the result of Chayka vs Podillya Khmelnytskyi?

Chayka won 2-0 on May 5, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Chayka have 4 wins, 4 draws and 7 defeats; Podillya Khmelnytskyi have 4, 3 and 8.

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

Chayka
DateOpponentScoreCompetition
May 1, 2019Veres Rivne(away)0-1Druha Liga
Apr 25, 2019Kalush(home)2-1Druha Liga
Apr 18, 2019Nyva Vinnytsya(home)2-1Druha Liga
Apr 13, 2019Minai(away)2-1Druha Liga
Apr 6, 2019Nyva Vinnytsya(away)0-1Druha Liga
Podillya Khmelnytskyi
DateOpponentScoreCompetition
May 1, 2019Nyva Ternopil(home)0-3Druha Liga
Apr 26, 2019Bukovyna(away)1-1Druha Liga
Apr 19, 2019Kalush(home)0-1Druha Liga
Apr 13, 2019Cherkashchyna-Akademiya(away)0-3Druha Liga
Apr 6, 2019Kalush(home)2-1Druha Liga

What does the head-to-head say?

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

DateScoreCompetition
Oct 13, 2018Chayka 0-1 Podillya KhmelnytskyiDruha Liga
Aug 11, 2018Podillya Khmelnytskyi 0-0 ChaykaDruha Liga

Last archived meeting: Chayka vs Podillya Khmelnytskyi on Oct 13, 2018

How many goals should we expect?

Chayka score 0.8 and concede 1.1 goals per match over their last 15; Podillya Khmelnytskyi score 0.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chayka0.81.117/154/15
Podillya Khmelnytskyi0.71.154/155/15

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 Chayka vs Podillya Khmelnytskyi?

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: Chayka and Podillya Khmelnytskyi

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