Match

Poltava vs Ruh Lviv: result 1-0 and analysis

Persha LigaRegular Season - 17Kick-off on October 15, 2017 at 12:00 PM (UTC)Stadion Lokomotiv, Poltava

Poltava
1-0
Ruh Lviv

Full time

What was the result of Poltava vs Ruh Lviv?

Poltava won 1-0 on October 15, 2017.

Goalscorers

  • 59′O. SavchenkoPoltava

Official lineup for Poltava vs Ruh Lviv

The starting elevens fielded at kick-off.

Poltava

  1. AA. Savin
  2. OO. Barannik
  1. MM. Pokotylyuk
  2. YYevhen Troyanovskyi
  3. DD. Krapyvnyi
  4. OO. Savchenko
  1. OO. Holikov
  2. PP. Ivanov
  3. VV. Paramonov
  4. OO. Kovtun
  1. MM. Kuchynskyi

Ruh Lviv

  1. GGrigoriy Baranets
  2. YYevhen Lozovyi
  3. OOleksandr Chepelyuk
  4. YY. Kopyna
  5. MMykola Buy
  1. IIvan Bilyi
  2. VV. Zastavnyi
  3. II. Duts
  4. VVasyl Bilyi
  5. MM. Grysyo
  1. OO. Ilyushchenkov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Poltava have 9 wins, 2 draws and 4 defeats; Ruh Lviv have 3, 6 and 6.

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

Poltava
DateOpponentScoreCompetition
Oct 11, 2017Kolos Kovalivka(away)0-1Persha Liga
Oct 6, 2017Volyn(away)0-2Persha Liga
Sep 30, 2017Kobra(home)1-0Persha Liga
Sep 24, 2017Inhulets(away)2-1Persha Liga
Sep 16, 2017Mykolaiv(home)2-0Persha Liga
Ruh Lviv
DateOpponentScoreCompetition
Oct 11, 2017Volyn(home)1-0Persha Liga
Oct 6, 2017Kobra(away)0-0Persha Liga
Sep 29, 2017Inhulets(home)1-1Persha Liga
Sep 24, 2017Mykolaiv(away)1-1Persha Liga
Sep 16, 2017Obolon'-Brovar(home)1-0Persha Liga

How many goals should we expect?

Poltava score 1.5 and concede 0.9 goals per match over their last 15; Ruh Lviv score 0.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Poltava1.50.975/156/15
Ruh Lviv0.71.156/154/15

Over the last 15 matches in all competitions.

A question about Poltava 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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