Arsenal Kyiv vs Zhemchuzhyna Odesa: result 2-0 and analysis
Persha LigaRegular Season - 29Kick-off on April 22, 2018 at 01:00 PM (UTC)Knyazha-Arena, Shchaslyve
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What was the result of Arsenal Kyiv vs Zhemchuzhyna Odesa?
Arsenal Kyiv won 2-0 on April 22, 2018.
Goalscorers
- 3′C. KızılateşArsenal Kyiv
- 48′Oleksandr ErmachenkoArsenal Kyiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal Kyiv have 7 wins, 3 draws and 5 defeats; Zhemchuzhyna Odesa have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2018 | Kramatorsk(away) | 0-1 | Persha Liga |
| Apr 14, 2018 | Balkany Zorya(home) | 1-0 | Persha Liga |
| Apr 7, 2018 | Desna(away) | 3-3 | Persha Liga |
| Apr 1, 2018 | Hirnyk-Sport(home) | 0-1 | Persha Liga |
| Mar 25, 2018 | Ruh Lviv(away) | 0-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2018 | Kolos Kovalivka(away) | 0-1 | Persha Liga |
| Apr 14, 2018 | Kramatorsk(home) | 2-2 | Persha Liga |
| Apr 6, 2018 | Balkany Zorya(away) | 1-1 | Persha Liga |
| Mar 31, 2018 | Desna(home) | 0-1 | Persha Liga |
| Mar 25, 2018 | Hirnyk-Sport(away) | 3-1 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Arsenal Kyiv win(s), 0 draw(s), 0 Zhemchuzhyna Odesa win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2017 | Zhemchuzhyna Odesa 0-3 Arsenal Kyiv | Persha Liga |
Last archived meeting: Zhemchuzhyna Odesa vs Arsenal Kyiv on Sep 16, 2017
How many goals should we expect?
Arsenal Kyiv score 1.7 and concede 0.9 goals per match over their last 15; Zhemchuzhyna Odesa score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal Kyiv | 1.7 | 0.9 | 3 | 7/15 | 7/15 |
| Zhemchuzhyna Odesa | 1.3 | 1.7 | 2 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy