Nikopol vs Zhemchuzhyna Odesa: result 1-2 and analysis
Druha LigaRegular Season - 18Kick-off on November 9, 2016 at 11:30 AM (UTC)Stadion Elektrometalurh-NFZ, Nikopol'
Full time
What was the result of Nikopol vs Zhemchuzhyna Odesa?
Zhemchuzhyna Odesa won 1-2 on November 9, 2016.
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; Zhemchuzhyna Odesa have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Kremin'(home) | 2-3 | Druha Liga |
| Oct 22, 2016 | Metalurh Zaporizhya(home) | 2-1 | Druha Liga |
| Oct 15, 2016 | Balkany Zorya(home) | 1-3 | Druha Liga |
| Oct 8, 2016 | Sudnobudivnyk(away) | 1-0 | Druha Liga |
| Oct 1, 2016 | Illichivets' II(home) | 2-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2016 | Metalurh Zaporizhya(away) | 1-0 | Druha Liga |
| Oct 30, 2016 | Balkany Zorya(home) | 2-0 | Druha Liga |
| Oct 25, 2016 | Enerhiya Nova Kakhovka(away) | 2-0 | Druha Liga |
| Oct 21, 2016 | Sudnobudivnyk(away) | 2-1 | Druha Liga |
| Oct 15, 2016 | Illichivets' II(home) | 3-1 | Druha Liga |
What does the head-to-head say?
In the last meeting: 0 Nikopol wins, 0 draws, 1 Zhemchuzhyna Odesa win.
| Date | Score | Competition |
|---|---|---|
| Jul 24, 2016 | Zhemchuzhyna Odesa 3-0 Nikopol | Druha Liga |
Last archived meeting: Zhemchuzhyna Odesa vs Nikopol on Jul 24, 2016
How many goals should we expect?
Nikopol score 1.2 and concede 1.7 goals per match over their last 15; Zhemchuzhyna Odesa score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nikopol | 1.2 | 1.7 | 2 | 9/15 | 10/15 |
| Zhemchuzhyna Odesa | 2.3 | 0.7 | 9 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Nikopol vs Zhemchuzhyna Odesa?
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