Krystal vs Ruh Lviv: result 1-1 and analysis
Druha LigaRegular Season - 8Kick-off on September 8, 2016 at 02:00 PM (UTC)Stadion Krystal, Kherson
Full time
What was the result of Krystal vs Ruh Lviv?
Krystal and Ruh Lviv drew 1-1 on September 8, 2016.
Goalscorers
- 39′Y. BilousovKrystal
- 50′Andriy GurskiyRuh Lviv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krystal have 4 wins, 3 draws and 8 defeats; Ruh Lviv have 7, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Podillya Khmelnytskyi(away) | 0-0 | Druha Liga |
| Aug 26, 2016 | Myr(home) | 0-1 | Druha Liga |
| Aug 15, 2016 | Zhemchuzhyna Odesa(away) | 3-2 | Druha Liga |
| Aug 10, 2016 | Naftovyk-Ukrnafta(home) | 1-4 | Cup |
| Aug 5, 2016 | Kremin'(home) | 0-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Zhemchuzhyna Odesa(home) | 0-1 | Druha Liga |
| 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 |
How many goals should we expect?
Krystal score 1.1 and concede 1.9 goals per match over their last 15; Ruh Lviv score 2.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krystal | 1.1 | 1.9 | 1 | 9/15 | 10/15 |
| Ruh Lviv | 2.3 | 1.0 | 4 | 4/9 | 6/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Ruh Lviv | 9 | 1 | 1 | 7 | 14 | 17 | 4 |
A question about Krystal vs Ruh Lviv?
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