Desna vs Dynamo Kyiv II: result 2-1 and analysis
Persha LigaRegular Season - 10Kick-off on September 27, 2014 at 01:00 PM (UTC)Olimpiysʹkyy Navchalʹno-Sportyvnyy Tsentr Chernihiv, Chernihiv
Full time
What was the result of Desna vs Dynamo Kyiv II?
Desna won 2-1 on September 27, 2014.
Goalscorers
- 32′E. KartushovDesna
- 49′Badri AkubardiaDynamo Kyiv II
- 90′Yury FurtaDesna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Desna have 6 wins, 3 draws and 6 defeats; Dynamo Kyiv II have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2014 | Zirka(away) | 2-0 | Persha Liga |
| Sep 13, 2014 | Hirnyk-Sport(home) | 4-0 | Persha Liga |
| Sep 6, 2014 | Poltava(away) | 0-0 | Persha Liga |
| Aug 31, 2014 | Stal Alchevsk(home) | 0-1 | Persha Liga |
| Aug 27, 2014 | Mykolaiv(away) | 2-3 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2014 | Stal Kamianske(home) | 0-0 | Persha Liga |
| Sep 14, 2014 | Ternopil'(away) | 0-1 | Persha Liga |
| Sep 6, 2014 | Bukovyna(home) | 2-0 | Persha Liga |
| Sep 1, 2014 | Naftovyk-Ukrnafta(away) | 0-0 | Persha Liga |
| Aug 27, 2014 | Zirka(away) | 0-2 | Persha Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Desna win(s), 1 draw(s), 0 Dynamo Kyiv II win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2013 | Dynamo Kyiv II 0-1 Desna | Persha Liga |
| Jul 14, 2013 | Desna 0-0 Dynamo Kyiv II | Persha Liga |
Last archived meeting: Dynamo Kyiv II vs Desna on Oct 27, 2013
How many goals should we expect?
Desna score 1.1 and concede 0.9 goals per match over their last 15; Dynamo Kyiv II score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Desna | 1.1 | 0.9 | 8 | 4/15 | 4/15 |
| Dynamo Kyiv II | 1.1 | 0.9 | 6 | 5/15 | 5/15 |
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