Dnipro-1 vs FC Mariupol: result 3-0 and analysis
Premier LeagueRegular Season - 22Kick-off on March 8, 2020 at 03:00 PM (UTC)Dnipro Arena, Dnipropetrovs'k
Full time
What was the result of Dnipro-1 vs FC Mariupol?
Dnipro-1 won 3-0 on March 8, 2020.
Goalscorers
- 68′Oleksii ChychykovDnipro-1
- 81′S. BuletsaDnipro-1
- 88′Oleksii ChychykovDnipro-1
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dnipro-1 have 4 wins, 2 draws and 9 defeats; FC Mariupol have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2020 | Shakhtar Donetsk(away) | 1-4 | Premier League |
| Feb 28, 2020 | Dynamo Kyiv(home) | 3-1 | Premier League |
| Feb 23, 2020 | Karpaty(away) | 1-1 | Premier League |
| Dec 15, 2019 | Oleksandria(home) | 1-2 | Premier League |
| Dec 7, 2019 | Kolos Kovalivka(away) | 0-4 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2020 | Vorskla Poltava(home) | 3-0 | Premier League |
| Feb 29, 2020 | Desna(away) | 0-4 | Premier League |
| Feb 22, 2020 | Zorya Luhansk(home) | 1-2 | Premier League |
| Dec 14, 2019 | Olimpik Donetsk(away) | 2-1 | Premier League |
| Dec 8, 2019 | Lviv(home) | 0-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Dnipro-1 win(s), 0 draw(s), 1 FC Mariupol win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2019 | FC Mariupol 1-0 Dnipro-1 | Premier League |
Last archived meeting: FC Mariupol vs Dnipro-1 on Oct 20, 2019
How many goals should we expect?
Dnipro-1 score 1.1 and concede 1.9 goals per match over their last 15; FC Mariupol score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dnipro-1 | 1.1 | 1.9 | 2 | 9/15 | 8/15 |
| FC Mariupol | 1.1 | 1.4 | 6 | 6/15 | 8/15 |
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