Vorskla Poltava vs Dnipro-1: result 1-1 and analysis
Premier LeagueRegular Season - 4Kick-off on August 17, 2019 at 11:00 AM (UTC)Stadion Vorskla im. Oleksiya Butovskoho, Poltava
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What was the result of Vorskla Poltava vs Dnipro-1?
Vorskla Poltava and Dnipro-1 drew 1-1 on August 17, 2019.
Goalscorers
- 50′Oleksii ChychykovDnipro-1
- 54′Y. KolomoetsVorskla Poltava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vorskla Poltava have 4 wins, 5 draws and 6 defeats; Dnipro-1 have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Lviv(home) | 3-2 | Premier League |
| Aug 3, 2019 | Desna(away) | 0-2 | Premier League |
| Jul 28, 2019 | Zorya Luhansk(home) | 0-1 | Premier League |
| May 29, 2019 | Olimpik Donetsk(home) | 2-2 | Premier League |
| May 25, 2019 | Chornomorets(home) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2019 | Desna(home) | 0-1 | Premier League |
| Aug 4, 2019 | Zorya Luhansk(away) | 1-1 | Premier League |
| Jul 31, 2019 | Olimpik Donetsk(home) | 2-0 | Premier League |
| May 25, 2019 | Mykolaiv(away) | 2-0 | Persha Liga |
| May 19, 2019 | Kolos Kovalivka(home) | 3-1 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Vorskla Poltava win(s), 0 draw(s), 1 Dnipro-1 win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2019 | Dnipro-1 2-0 Vorskla Poltava | Cup |
Last archived meeting: Dnipro-1 vs Vorskla Poltava on Apr 7, 2019
How many goals should we expect?
Vorskla Poltava score 1.2 and concede 1.6 goals per match over their last 15; Dnipro-1 score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vorskla Poltava | 1.2 | 1.6 | 2 | 8/15 | 7/15 |
| Dnipro-1 | 1.9 | 0.9 | 7 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
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