Krystal vs Arsenal Kyiv: result 2-0 and analysis
Druha LigaRegular Season - 17Kick-off on April 2, 2016 at 12:00 PM (UTC)Stadion Krystal, Kherson
Full time
What was the result of Krystal vs Arsenal Kyiv?
Krystal won 2-0 on April 2, 2016.
Goalscorers
- 11′Ivan GlyvyiKrystal
- 73′Y. BilousovKrystal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krystal have 4 wins, 0 draws and 11 defeats; Arsenal Kyiv have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2016 | Enerhiya Nova Kakhovka(away) | 0-3 | Druha Liga |
| Oct 31, 2015 | Arsenal Bila Tserkva(home) | 2-0 | Druha Liga |
| Oct 24, 2015 | Bukovyna(away) | 0-2 | Druha Liga |
| Oct 17, 2015 | Nikopol(away) | 1-0 | Druha Liga |
| Oct 10, 2015 | Veres Rivne(home) | 0-2 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 26, 2016 | Kolos Kovalivka(home) | 3-1 | Druha Liga |
| Oct 31, 2015 | Kremin'(away) | 0-1 | Druha Liga |
| Oct 24, 2015 | Barsa Sumy(home) | 3-0 | Druha Liga |
| Oct 17, 2015 | Myr(home) | 3-2 | Druha Liga |
| Oct 10, 2015 | Inhulets(away) | 0-4 | Druha Liga |
What does the head-to-head say?
In the last meeting: 0 Krystal wins, 0 draws, 1 Arsenal Kyiv win.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2015 | Arsenal Kyiv 2-1 Krystal | Druha Liga |
Last archived meeting: Arsenal Kyiv vs Krystal on Aug 15, 2015
How many goals should we expect?
Krystal score 0.9 and concede 2.0 goals per match over their last 15; Arsenal Kyiv score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krystal | 0.9 | 2.0 | 3 | 5/15 | 7/15 |
| Arsenal Kyiv | 1.5 | 1.4 | 4 | 6/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Krystal vs Arsenal Kyiv?
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