Dynamo Kyiv vs FC Mariupol: result 3-1 and analysis
Premier LeagueRegular Season - 9Kick-off on September 11, 2011 at 04:30 PM (UTC)Stadion Dynamo im. Valeriy Lobanovskyi, Kyiv
Full time
What was the result of Dynamo Kyiv vs FC Mariupol?
Dynamo Kyiv won 3-1 on September 11, 2011.
Goalscorers
- 14′M. NinkovićDynamo Kyiv
- 69′A. YarmolenkoDynamo Kyiv
- 78′B. ButkoDynamo Kyiv (o.g.)
- 88′D. KozhanovFC Mariupol
What is the recent form of both teams?
Over their last 10 matches in all competitions, Dynamo Kyiv have 6 wins, 2 draws and 2 defeats; FC Mariupol have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2011 | Dnipro Dnipropetrovsk(away) | 4-0 | Premier League |
| Aug 21, 2011 | Kryvbas(home) | 1-0 | Premier League |
| Aug 13, 2011 | Arsenal Kyiv(away) | 2-0 | Premier League |
| Aug 7, 2011 | Karpaty(home) | 2-0 | Premier League |
| Aug 3, 2011 | Rubin(away) | 1-2 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2011 | Vorskla Poltava(home) | 4-1 | Premier League |
| Aug 21, 2011 | Shakhtar Donetsk(away) | 0-3 | Premier League |
| Aug 14, 2011 | Chornomorets(home) | 1-1 | Premier League |
| Aug 5, 2011 | Volyn(home) | 1-2 | Premier League |
| Jul 30, 2011 | Dnipro Dnipropetrovsk(away) | 0-3 | Premier League |
How many goals should we expect?
Dynamo Kyiv score 1.8 and concede 0.6 goals per match over their last 10; FC Mariupol score 1.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo Kyiv | 1.8 | 0.6 | 6 | 3/10 | 4/10 |
| FC Mariupol | 1.0 | 1.6 | 2 | 4/8 | 5/8 |
Over the last 10 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