Krystal vs Nikopol: result 3-2 and analysis
Druha LigaRegular Season - 26Kick-off on June 1, 2016 at 03:00 PM (UTC)Stadion Krystal, Kherson
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What was the result of Krystal vs Nikopol?
Krystal won 3-2 on June 1, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krystal have 4 wins, 1 draw and 10 defeats; Nikopol have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2016 | Veres Rivne(away) | 0-2 | Druha Liga |
| May 20, 2016 | Skala Stryi(home) | 2-2 | Druha Liga |
| May 14, 2016 | Real Pharm(away) | 2-3 | Druha Liga |
| May 7, 2016 | Inhulets(away) | 0-3 | Druha Liga |
| Apr 29, 2016 | Kolos Kovalivka(home) | 0-4 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2016 | Kolos Kovalivka(home) | 1-5 | Druha Liga |
| May 20, 2016 | Kremin'(away) | 1-1 | Druha Liga |
| May 14, 2016 | Barsa Sumy(home) | 0-1 | Druha Liga |
| May 7, 2016 | Myr(away) | 0-1 | Druha Liga |
| Apr 29, 2016 | Arsenal Kyiv(home) | 0-0 | Druha Liga |
What does the head-to-head say?
Across the last 6 meetings: 3 Krystal wins, 3 draws, 0 Nikopol wins.
| Date | Score | Competition |
|---|---|---|
| Oct 17, 2015 | Nikopol 0-1 Krystal | Druha Liga |
| Jun 3, 2015 | Krystal 2-1 Nikopol | Druha Liga |
| Sep 28, 2014 | Nikopol 0-0 Krystal | Druha Liga |
| Jul 26, 2014 | Krystal 3-3 Nikopol | Druha Liga |
| Mar 29, 2014 | Nikopol 1-3 Krystal | Druha Liga |
| Aug 17, 2013 | Krystal 2-2 Nikopol | Druha Liga |
How many goals should we expect?
Krystal score 0.9 and concede 1.8 goals per match over their last 15; Nikopol score 0.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krystal | 0.9 | 1.8 | 3 | 5/15 | 8/15 |
| Nikopol | 0.5 | 1.6 | 3 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Krystal vs Nikopol?
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