Vorskla Poltava vs Metalist 1925 Kharkiv: result 2-0 and analysis
Premier LeagueRegular Season - 5Kick-off on August 20, 2021 at 04:30 PM (UTC)Stadion Vorskla im. Oleksiya Butovskoho, Poltava
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What was the result of Vorskla Poltava vs Metalist 1925 Kharkiv?
Vorskla Poltava won 2-0 on August 20, 2021.
Goalscorers
- 41′V. ChesnakovVorskla Poltava
- 55′Y. TkachukVorskla Poltava (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vorskla Poltava have 6 wins, 5 draws and 4 defeats; Metalist 1925 Kharkiv have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2021 | Veres Rivne(away) | 1-1 | Premier League |
| Aug 8, 2021 | Lviv(home) | 4-1 | Premier League |
| Aug 1, 2021 | Ruh Lviv(home) | 2-0 | Premier League |
| Jul 29, 2021 | KuPS(home) | 2-3 | UEFA Europa Conference League |
| Jul 26, 2021 | Dnipro-1(home) | 2-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2021 | Shakhtar Donetsk(away) | 0-2 | Premier League |
| Aug 6, 2021 | Chornomorets(home) | 3-2 | Premier League |
| Jul 30, 2021 | Kolos Kovalivka(away) | 0-1 | Premier League |
| Jul 25, 2021 | Ruh Lviv(home) | 2-1 | Premier League |
| Jul 12, 2021 | Kryvbas KR(home) | 3-1 | Friendlies Clubs |
How many goals should we expect?
Vorskla Poltava score 2.0 and concede 1.6 goals per match over their last 15; Metalist 1925 Kharkiv score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vorskla Poltava | 2.0 | 1.6 | 4 | 10/15 | 11/15 |
| Metalist 1925 Kharkiv | 1.7 | 1.0 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Metalist 1925 Kharkiv | 3 | 1 | 0 | 2 | 2 | 4 | 3 |
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