Vorskla Poltava vs Chornomorets: result 3-1 and analysis
Premier LeagueRegular Season - 9Kick-off on September 10, 2011 at 02:00 PM (UTC)Stadion Vorskla im. Oleksiya Butovskoho, Poltava
Full time
What was the result of Vorskla Poltava vs Chornomorets?
Vorskla Poltava won 3-1 on September 10, 2011.
Goalscorers
- 33′A. JanuziVorskla Poltava
- 60′A. GromovVorskla Poltava
- 68′Pavlo RebenokVorskla Poltava
- 81′Andriy DonetsChornomorets
What is the recent form of both teams?
Over their last 8 matches in all competitions, Vorskla Poltava have 3 wins, 2 draws and 3 defeats; Chornomorets have 0, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2011 | FC Mariupol(away) | 1-4 | Premier League |
| Aug 21, 2011 | Dnipro Dnipropetrovsk(home) | 0-0 | Premier League |
| Aug 12, 2011 | Kryvbas(away) | 0-0 | Premier League |
| Aug 7, 2011 | Arsenal Kyiv(home) | 0-2 | Premier League |
| Jul 31, 2011 | Karpaty(away) | 2-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2011 | Shakhtar Donetsk(home) | 2-2 | Premier League |
| Aug 20, 2011 | Volyn(home) | 0-0 | Premier League |
| Aug 14, 2011 | FC Mariupol(away) | 1-1 | Premier League |
| Aug 6, 2011 | Dnipro Dnipropetrovsk(home) | 1-1 | Premier League |
| Jul 31, 2011 | Kryvbas(away) | 0-1 | Premier League |
How many goals should we expect?
Vorskla Poltava score 1.0 and concede 1.1 goals per match over their last 8; Chornomorets score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vorskla Poltava | 1.0 | 1.1 | 4 | 2/8 | 2/8 |
| Chornomorets | 0.6 | 1.3 | 1 | 4/8 | 2/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Chornomorets | 2 | 0 | 0 | 2 | 1 | 4 | 0 |
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