Dnipro-1 vs Hirnyk-Sport: result 6-0 and analysis
Persha LigaRegular Season - 2Kick-off on July 28, 2018 at 04:00 PM (UTC)Dnipro Arena, Dnipro
Full time
What was the result of Dnipro-1 vs Hirnyk-Sport?
Dnipro-1 won 6-0 on July 28, 2018.
Goalscorers
- 18′M. LopyrenokDnipro-1
- 27′Y. KravchukDnipro-1 (o.g.)
- 36′S. KulishDnipro-1
- 44′S. KulishDnipro-1
- 84′O. NazarenkoDnipro-1
- 90′O. KozhushkoDnipro-1
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dnipro-1 have 12 wins, 1 draws and 2 defeats; Hirnyk-Sport have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Ruh Lviv(away) | 3-1 | Persha Liga |
| Jun 2, 2018 | Inhulets II(away) | 6-0 | Druha Liga - Group B |
| May 26, 2018 | Sudnobudivnyk(home) | 8-0 | Druha Liga - Group B |
| May 19, 2018 | Mykolaiv II(away) | 5-0 | Druha Liga - Group B |
| May 12, 2018 | Nikopol(home) | 1-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Sumy(home) | 1-2 | Persha Liga |
| May 19, 2018 | Volyn(home) | 0-2 | Persha Liga |
| May 12, 2018 | Kobra(away) | 3-1 | Persha Liga |
| May 6, 2018 | Inhulets(home) | 2-0 | Persha Liga |
| May 2, 2018 | Mykolaiv(away) | 0-1 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Dnipro-1 win(s), 0 draw(s), 0 Hirnyk-Sport win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 20, 2017 | Dnipro-1 1-0 Hirnyk-Sport | Cup |
Last archived meeting: Dnipro-1 vs Hirnyk-Sport on Sep 20, 2017
How many goals should we expect?
Dnipro-1 score 2.8 and concede 0.8 goals per match over their last 15; Hirnyk-Sport score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dnipro-1 | 2.8 | 0.8 | 7 | 7/15 | 10/15 |
| Hirnyk-Sport | 1.2 | 1.1 | 5 | 7/15 | 6/15 |
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