Nikopol vs Myr: result 1-4 and analysis
Druha LigaRegular Season - 9Kick-off on September 19, 2015 at 01:00 PM (UTC)Stadion Elektrometalurh-NFZ, Nikopol'
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What was the result of Nikopol vs Myr?
Myr won 1-4 on September 19, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nikopol have 3 wins, 3 draws and 9 defeats; Myr have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2015 | Arsenal Kyiv(away) | 0-2 | Druha Liga |
| Sep 5, 2015 | Enerhiya Nova Kakhovka(home) | 1-2 | Druha Liga |
| Aug 31, 2015 | Arsenal Bila Tserkva(away) | 4-2 | Druha Liga |
| Aug 26, 2015 | Bukovyna(home) | 0-6 | Druha Liga |
| Aug 15, 2015 | Inhulets(away) | 0-2 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2015 | Veres Rivne(home) | 0-1 | Druha Liga |
| Sep 5, 2015 | Skala Stryi(away) | 2-3 | Druha Liga |
| Aug 30, 2015 | Real Pharm(home) | 2-1 | Druha Liga |
| Aug 27, 2015 | Krystal(away) | 4-3 | Druha Liga |
| Aug 22, 2015 | Chornomorets(home) | 0-2 | Cup |
What does the head-to-head say?
Across the last 2 meetings: 0 Nikopol wins, 1 draw, 1 Myr win.
| Date | Score | Competition |
|---|---|---|
| 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 1.9 goals per match over their last 15; Myr score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nikopol | 1.2 | 1.9 | 2 | 8/15 | 9/15 |
| Myr | 1.1 | 1.1 | 6 | 5/15 | 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