Nikopol vs Ruh Lviv: result 1-1 and analysis
Druha LigaRegular Season - 22Kick-off on March 25, 2017 at 01:00 PM (UTC)Stadion Elektrometalurh-NFZ, Nikopol'
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What was the result of Nikopol vs Ruh Lviv?
Nikopol and Ruh Lviv drew 1-1 on March 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nikopol have 5 wins, 2 draws and 8 defeats; Ruh Lviv have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2017 | Podillya Khmelnytskyi(away) | 1-1 | Druha Liga |
| Nov 19, 2016 | Myr(home) | 1-4 | Druha Liga |
| Nov 14, 2016 | Krystal(away) | 1-0 | Druha Liga |
| Nov 9, 2016 | Zhemchuzhyna Odesa(home) | 1-2 | Druha Liga |
| Nov 5, 2016 | Kremin'(home) | 2-3 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2017 | Metalurh Zaporizhya(home) | 6-1 | Druha Liga |
| Nov 19, 2016 | Balkany Zorya(away) | 1-1 | Druha Liga |
| Nov 9, 2016 | Illichivets' II(away) | 2-1 | Druha Liga |
| Nov 5, 2016 | Enerhiya Nova Kakhovka(away) | 1-2 | Druha Liga |
| Oct 29, 2016 | Real Pharm(home) | 1-0 | Druha Liga |
What does the head-to-head say?
In the last meeting: 0 Nikopol wins, 0 draws, 1 Ruh Lviv win.
| Date | Score | Competition |
|---|---|---|
| Aug 19, 2016 | Ruh Lviv 1-0 Nikopol | Druha Liga |
How many goals should we expect?
Nikopol score 1.1 and concede 1.8 goals per match over their last 15; Ruh Lviv score 2.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nikopol | 1.1 | 1.8 | 2 | 10/15 | 10/15 |
| Ruh Lviv | 2.0 | 0.7 | 6 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Ruh Lviv | 9 | 1 | 1 | 7 | 14 | 17 | 4 |
A question about Nikopol 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