Dynamo Kyiv vs Skenderbeu Korce: result 3-1 and analysis
UEFA Europa LeagueGroup Stage - 1Kick-off on September 14, 2017 at 05:00 PM (UTC)Stadion Dynamo im. Valeriy Lobanovskyi, Kyiv
Full time
What was the result of Dynamo Kyiv vs Skenderbeu Korce?
Dynamo Kyiv won 3-1 on September 14, 2017.
Goalscorers
- 39′Gjergj MuzakaSkenderbeu Korce
- 47′S. SydorchukDynamo Kyiv
- 50′Júnior MoraesDynamo Kyiv
- 65′Dieumerci MbokaniDynamo Kyiv (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamo Kyiv have 10 wins, 2 draws and 3 defeats; Skenderbeu Korce have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2017 | Oleksandria(home) | 3-0 | Premier League |
| Aug 27, 2017 | FC Mariupol(away) | 0-3 | Premier League |
| Aug 24, 2017 | Maritimo(home) | 3-1 | UEFA Europa League |
| Aug 20, 2017 | Stal Kamianske(home) | 4-1 | Premier League |
| Aug 17, 2017 | Maritimo(away) | 0-0 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Flamurtari(home) | 2-0 | Superliga |
| Aug 24, 2017 | Dinamo Zagreb(home) | 0-0 | UEFA Europa League |
| Aug 17, 2017 | Dinamo Zagreb(away) | 1-1 | UEFA Europa League |
| Aug 3, 2017 | Mlada Boleslav(home) | 4-2 | UEFA Europa League |
| Jul 27, 2017 | Mlada Boleslav(away) | 1-2 | UEFA Europa League |
How many goals should we expect?
Dynamo Kyiv score 2.0 and concede 0.9 goals per match over their last 15; Skenderbeu Korce score 2.0 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo Kyiv | 2.0 | 0.9 | 6 | 7/15 | 11/15 |
| Skenderbeu Korce | 2.0 | 0.6 | 8 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 34 | Dynamo Kyiv | 8 | 1 | 1 | 6 | 5 | 18 | 4 |
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