Desna vs Arsenal Kyiv: result 5-1 and analysis
Persha LigaRegular Season - 31Kick-off on May 17, 2017 at 03:00 PM (UTC)Obolon Arena, Kyiv
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What was the result of Desna vs Arsenal Kyiv?
Desna won 5-1 on May 17, 2017.
Goalscorers
- 21′Yevhen ChepurnenkoDesna
- 35′D. FavorovDesna
- 48′L. ArveladzeDesna (pen.)
- 57′Vadim MelnykDesna
- 76′V. SemchukArsenal Kyiv
- 87′I. KovalenkoDesna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Desna have 11 wins, 3 draws and 1 defeats; Arsenal Kyiv have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Inhulets(away) | 2-1 | Persha Liga |
| May 8, 2017 | Hirnyk-Sport(home) | 2-0 | Persha Liga |
| May 4, 2017 | Skala Stryi(away) | 5-2 | Persha Liga |
| Apr 29, 2017 | Sumy(home) | 0-0 | Persha Liga |
| Apr 22, 2017 | Kramatorsk(home) | 2-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Kramatorsk(home) | 0-3 | Persha Liga |
| May 8, 2017 | Kolos Kovalivka(away) | 1-1 | Persha Liga |
| May 3, 2017 | Ternopil'(home) | 4-0 | Persha Liga |
| Apr 29, 2017 | Veres Rivne(away) | 0-2 | Persha Liga |
| Apr 22, 2017 | Bukovyna(home) | 0-1 | Persha Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Desna win(s), 0 draw(s), 0 Arsenal Kyiv win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2016 | Arsenal Kyiv 1-2 Desna | Persha Liga |
| Sep 21, 2016 | Desna 1-0 Arsenal Kyiv | Cup |
Last archived meeting: Arsenal Kyiv vs Desna on Oct 15, 2016
How many goals should we expect?
Desna score 1.7 and concede 0.6 goals per match over their last 15; Arsenal Kyiv score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Desna | 1.7 | 0.6 | 8 | 6/15 | 5/15 |
| Arsenal Kyiv | 0.9 | 0.8 | 7 | 4/15 | 4/15 |
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