Ruh Lviv vs Inhulets II: result 3-2 and analysis
Druha LigaRegular Season - 30Kick-off on May 13, 2017 at 02:00 PM (UTC)Arena Lviv, Lviv
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What was the result of Ruh Lviv vs Inhulets II?
Ruh Lviv won 3-2 on May 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ruh Lviv have 8 wins, 4 draws and 3 defeats; Inhulets II have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2017 | Nyva Vinnytsya(away) | 0-2 | Druha Liga |
| Apr 29, 2017 | Podillya Khmelnytskyi(home) | 3-1 | Druha Liga |
| Apr 22, 2017 | Myr(away) | 0-0 | Druha Liga |
| Apr 13, 2017 | Krystal(home) | 0-0 | Druha Liga |
| Apr 12, 2017 | Sudnobudivnyk(home) | 4-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2017 | Podillya Khmelnytskyi(home) | 2-0 | Druha Liga |
| May 3, 2017 | Myr(away) | 0-0 | Druha Liga |
| Apr 28, 2017 | Krystal(home) | 0-0 | Druha Liga |
| Apr 22, 2017 | Zhemchuzhyna Odesa(away) | 0-2 | Druha Liga |
| Apr 14, 2017 | Kremin'(home) | 0-1 | Druha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Ruh Lviv win(s), 0 draw(s), 0 Inhulets II win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2016 | Inhulets II 1-3 Ruh Lviv | Druha Liga |
Last archived meeting: Inhulets II vs Ruh Lviv on Oct 8, 2016
How many goals should we expect?
Ruh Lviv score 2.0 and concede 0.9 goals per match over their last 15; Inhulets II score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ruh Lviv | 2.0 | 0.9 | 5 | 9/15 | 8/15 |
| Inhulets II | 1.1 | 1.0 | 7 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Ruh Lviv | 2 | 1 | 0 | 1 | 7 | 4 | 3 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy