Match

Chayka vs Ruh Lviv: result 0-2 and analysis

Cup1st RoundKick-off on July 9, 2017 at 02:00 PM (UTC)Tsentralnyi stadion im. Mikhaila Brukvenka, Makariv

Chayka
0-2
Ruh Lviv

Full time

What was the result of Chayka vs Ruh Lviv?

Ruh Lviv won 0-2 on July 9, 2017.

Goalscorers

  • 9′Vasyl BilyiRuh Lviv
  • 90′I. DutsRuh Lviv

Official lineup for Chayka vs Ruh Lviv

The starting elevens fielded at kick-off.

Chayka

  1. EEvgeny Pronak
  2. YYaroslav Lytvyn
  1. AA. Stepanchuk
  2. MMohamed Sadeg
  3. RR. Baranovich
  4. NN. Kazmiruk
  5. AA. Siry
  1. SSerhii Ponomarenko
  2. AAndrii Bartoshuk
  3. II. Sklyarenko
  1. AAnton Musienko

Ruh Lviv

  1. YY. Bokhashvili
  1. GGrigoriy Baranets
  2. BBoris Baranets
  3. VVolodymyr Bidlovskiy
  4. YY. Kopyna
  5. MMykola Buy
  1. IIvan Bilyi
  2. VV. Zastavnyi
  3. II. Duts
  4. VVasyl Bilyi
  1. OOleksandr Dyachenko
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Chayka have 1 win, 0 draws and 1 defeat; Ruh Lviv have 8, 5 and 2.

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

Chayka
DateOpponentScoreCompetition
Aug 23, 2014Karpaty(home)0-4Cup
Aug 6, 2014Enerhiya Nova Kakhovka(home)3-0Cup
Ruh Lviv
DateOpponentScoreCompetition
Jun 2, 2017Enerhiya Nova Kakhovka(home)5-0Druha Liga
May 27, 2017Real Pharm(away)1-1Druha Liga
May 21, 2017Teplovyk(home)1-0Druha Liga
May 17, 2017Arsenal Bila Tserkva(away)2-0Druha Liga
May 13, 2017Inhulets II(home)3-2Druha Liga

How many goals should we expect?

Chayka score 1.5 and concede 2.0 goals per match over their last 2; Ruh Lviv score 2.1 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chayka1.52.010/22/2
Ruh Lviv2.10.868/157/15

Over the last 2 matches in all competitions.

A question about Chayka vs Ruh Lviv?

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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