Dynamo Kyiv vs Veres Rivne: result 0-0 and analysis
Premier LeagueRegular Season - 10Kick-off on September 23, 2017 at 04:30 PM (UTC)Stadion Yuvilejnyj, Sumy
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What was the result of Dynamo Kyiv vs Veres Rivne?
Dynamo Kyiv and Veres Rivne drew 0-0 on September 23, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamo Kyiv have 11 wins, 2 draws and 2 defeats; Veres Rivne have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2017 | Olimpik Donetsk(away) | 2-1 | Premier League |
| Sep 14, 2017 | Skenderbeu Korce(home) | 3-1 | UEFA Europa League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2017 | Ahrobiznes Volochysk(away) | 2-1 | Cup |
| Sep 16, 2017 | Vorskla Poltava(home) | 1-0 | Premier League |
| Sep 10, 2017 | Karpaty(away) | 6-1 | Premier League |
| Aug 27, 2017 | Shakhtar Donetsk(home) | 1-2 | Premier League |
| Aug 19, 2017 | Chornomorets(away) | 1-0 | Premier League |
How many goals should we expect?
Dynamo Kyiv score 2.1 and concede 0.8 goals per match over their last 15; Veres Rivne score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo Kyiv | 2.1 | 0.8 | 6 | 7/15 | 11/15 |
| Veres Rivne | 1.3 | 0.8 | 6 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dynamo Kyiv sit 4th in Premier League (6 points from 2 matches) and Veres Rivne sit 14th (1 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Dynamo Kyiv | 2 | 2 | 0 | 0 | 4 | 2 | 6 |
| 14 | Veres Rivne | 3 | 0 | 1 | 2 | 1 | 3 | 1 |
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