Arsenal Kyiv vs Cherkaskyi Dnipro: result 1-0 and analysis
Persha LigaRegular Season - 14Kick-off on October 1, 2017 at 12:00 PM (UTC)Knyazha-Arena, Shchaslyve
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What was the result of Arsenal Kyiv vs Cherkaskyi Dnipro?
Arsenal Kyiv won 1-0 on October 1, 2017.
Goalscorers
- 45′Oleksii MaydanevychArsenal Kyiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal Kyiv have 12 wins, 3 draws and 0 defeats; Cherkaskyi Dnipro have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2017 | Kolos Kovalivka(home) | 2-1 | Persha Liga |
| Sep 20, 2017 | Inhulets(away) | 0-0 | Cup |
| Sep 16, 2017 | Zhemchuzhyna Odesa(away) | 3-0 | Persha Liga |
| Sep 9, 2017 | Kramatorsk(home) | 2-0 | Persha Liga |
| Sep 3, 2017 | Balkany Zorya(away) | 3-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2017 | Zhemchuzhyna Odesa(home) | 1-0 | Persha Liga |
| Sep 16, 2017 | Kramatorsk(away) | 1-2 | Persha Liga |
| Sep 9, 2017 | Balkany Zorya(home) | 0-0 | Persha Liga |
| Sep 3, 2017 | Desna(away) | 0-3 | Persha Liga |
| Aug 30, 2017 | Hirnyk-Sport(home) | 0-1 | Persha Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Arsenal Kyiv win(s), 1 draw(s), 1 Cherkaskyi Dnipro win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 8, 2017 | Arsenal Kyiv 0-0 Cherkaskyi Dnipro | Persha Liga |
| Sep 3, 2016 | Cherkaskyi Dnipro 1-0 Arsenal Kyiv | Persha Liga |
Last archived meeting: Arsenal Kyiv vs Cherkaskyi Dnipro on Apr 8, 2017
How many goals should we expect?
Arsenal Kyiv score 1.7 and concede 0.5 goals per match over their last 15; Cherkaskyi Dnipro score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal Kyiv | 1.7 | 0.5 | 9 | 6/15 | 6/15 |
| Cherkaskyi Dnipro | 1.1 | 1.6 | 4 | 6/15 | 8/15 |
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