Dynamo Kyiv vs Lviv: result 0-1 and analysis
Premier LeagueRegular Season - 13Kick-off on October 28, 2018 at 03:00 PM (UTC)Stadion Dynamo im. Valeriy Lobanovskyi, Kyiv
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What was the result of Dynamo Kyiv vs Lviv?
Lviv won 0-1 on October 28, 2018.
Goalscorers
- 21′Lucas TaylorLviv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamo Kyiv have 8 wins, 5 draws and 2 defeats; Lviv 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 |
|---|---|---|---|
| Oct 25, 2018 | Rennes(away) | 2-1 | UEFA Europa League |
| Oct 20, 2018 | Vorskla Poltava(away) | 1-0 | Premier League |
| Oct 7, 2018 | Olimpik Donetsk(home) | 1-0 | Premier League |
| Oct 4, 2018 | FK Jablonec(away) | 2-2 | UEFA Europa League |
| Sep 30, 2018 | Arsenal Kyiv(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Arsenal Kyiv(home) | 1-0 | Premier League |
| Oct 7, 2018 | Desna(home) | 1-3 | Premier League |
| Sep 30, 2018 | Zorya Luhansk(away) | 0-0 | Premier League |
| Sep 22, 2018 | Karpaty(home) | 1-1 | Premier League |
| Sep 16, 2018 | Chornomorets(away) | 1-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 1 Dynamo Kyiv win(s), 0 draw(s), 0 Lviv win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 28, 2018 | Lviv 0-1 Dynamo Kyiv | Premier League |
How many goals should we expect?
Dynamo Kyiv score 1.4 and concede 0.8 goals per match over their last 15; Lviv score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo Kyiv | 1.4 | 0.8 | 8 | 6/15 | 5/15 |
| Lviv | 1.1 | 1.1 | 5 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Dynamo Kyiv | 2 | 2 | 0 | 0 | 4 | 2 | 6 |
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