Ruh Lviv vs Zhemchuzhyna Odesa: result 0-1 and analysis
Druha LigaRegular Season - 7Kick-off on September 3, 2016 at 02:00 PM (UTC)Arena Lviv, Lviv
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What was the result of Ruh Lviv vs Zhemchuzhyna Odesa?
Zhemchuzhyna Odesa won 0-1 on September 3, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Ruh Lviv have 7 wins, 0 draws and 1 defeat; Zhemchuzhyna Odesa have 4, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2016 | Kremin'(away) | 2-1 | Druha Liga |
| Aug 19, 2016 | Nikopol(home) | 1-0 | Druha Liga |
| Aug 14, 2016 | Metalurh Zaporizhya(away) | 4-3 | Druha Liga |
| Aug 10, 2016 | Arsenal Kyiv(home) | 2-3 | Cup |
| Aug 6, 2016 | Balkany Zorya(home) | 2-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2016 | Podillya Khmelnytskyi(home) | 5-0 | Druha Liga |
| Aug 19, 2016 | Myr(away) | 0-0 | Druha Liga |
| Aug 15, 2016 | Krystal(home) | 2-3 | Druha Liga |
| Aug 10, 2016 | Enerhiya Nova Kakhovka(away) | 2-0 | Cup |
| Jul 30, 2016 | Kremin'(away) | 0-2 | Druha Liga |
How many goals should we expect?
Ruh Lviv score 2.6 and concede 1.0 goals per match over their last 8; Zhemchuzhyna Odesa score 2.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ruh Lviv | 2.6 | 1.0 | 4 | 4/8 | 6/8 |
| Zhemchuzhyna Odesa | 2.0 | 0.9 | 4 | 2/7 | 4/7 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Ruh Lviv | 11 | 2 | 2 | 7 | 16 | 18 | 8 |
A question about Ruh Lviv vs Zhemchuzhyna Odesa?
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