Arsenal Kyiv vs Desna: result 1-0 and analysis
Persha LigaRegular Season - 9Kick-off on August 30, 2017 at 02:00 PM (UTC)Knyazha-Arena, Shchaslyve
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What was the result of Arsenal Kyiv vs Desna?
Arsenal Kyiv won 1-0 on August 30, 2017.
Goalscorers
- 26′Artem StargorodskyiArsenal Kyiv (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal Kyiv have 9 wins, 3 draws and 3 defeats; Desna have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | Hirnyk-Sport(away) | 3-1 | Persha Liga |
| Aug 20, 2017 | Ruh Lviv(home) | 0-0 | Persha Liga |
| Aug 14, 2017 | Poltava(away) | 1-0 | Persha Liga |
| Aug 9, 2017 | Volyn(home) | 2-0 | Persha Liga |
| Aug 5, 2017 | Kobra(away) | 1-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | Zhemchuzhyna Odesa(home) | 3-1 | Persha Liga |
| Aug 19, 2017 | Kramatorsk(away) | 0-0 | Persha Liga |
| Aug 13, 2017 | Balkany Zorya(home) | 2-0 | Persha Liga |
| Aug 9, 2017 | Kolos Kovalivka(home) | 2-3 | Persha Liga |
| Aug 5, 2017 | Hirnyk-Sport(away) | 2-0 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 0 Arsenal Kyiv win(s), 0 draw(s), 3 Desna win(s).
| Date | Score | Competition |
|---|---|---|
| May 17, 2017 | Desna 5-1 Arsenal Kyiv | Persha Liga |
| Oct 15, 2016 | Arsenal Kyiv 1-2 Desna | Persha Liga |
| Sep 21, 2016 | Desna 1-0 Arsenal Kyiv | Cup |
Last archived meeting: Desna vs Arsenal Kyiv on May 17, 2017
How many goals should we expect?
Arsenal Kyiv score 1.7 and concede 1.3 goals per match over their last 15; Desna score 2.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal Kyiv | 1.7 | 1.3 | 6 | 7/15 | 7/15 |
| Desna | 2.1 | 0.7 | 8 | 7/15 | 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