Nikopol vs Myr: result 1-4 and analysis
Druha LigaRegular Season - 20Kick-off on November 19, 2016 at 11:00 AM (UTC)Stadion Elektrometalurh-NFZ, Nikopol'
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What was the result of Nikopol vs Myr?
Myr won 1-4 on November 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nikopol have 6 wins, 1 draw and 8 defeats; Myr have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 22, 2016 | Metalurh Zaporizhya(home) | 2-1 | Druha Liga |
| Oct 15, 2016 | Balkany Zorya(home) | 1-3 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2016 | Metalurh Zaporizhya(home) | 0-3 | Druha Liga |
| Nov 9, 2016 | Balkany Zorya(away) | 0-1 | Druha Liga |
| Nov 5, 2016 | Sudnobudivnyk(away) | 2-2 | Druha Liga |
| Oct 29, 2016 | Illichivets' II(home) | 2-0 | Druha Liga |
| Oct 21, 2016 | Enerhiya Nova Kakhovka(away) | 3-1 | Druha Liga |
What does the head-to-head say?
Across the last 5 meetings: 0 Nikopol wins, 1 draw, 4 Myr wins.
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2016 | Myr 3-1 Nikopol | Druha Liga |
| May 7, 2016 | Myr 1-0 Nikopol | Druha Liga |
| Sep 19, 2015 | Nikopol 1-4 Myr | Druha Liga |
| May 5, 2014 | Myr 0-0 Nikopol | Druha Liga |
| Sep 21, 2013 | Nikopol 2-4 Myr | Druha Liga |
How many goals should we expect?
Nikopol score 1.2 and concede 1.5 goals per match over their last 15; Myr score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nikopol | 1.2 | 1.5 | 3 | 8/15 | 10/15 |
| Myr | 1.1 | 0.9 | 6 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Nikopol vs Myr?
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