Dnipro-1 vs Real Pharm: result 4-1 and analysis
Druha Liga - Group BRegular Season - 7Kick-off on August 19, 2017 at 04:00 PM (UTC)Dnipro Arena, Dnipro
Full time
What was the result of Dnipro-1 vs Real Pharm?
Dnipro-1 won 4-1 on August 19, 2017.
Goalscorers
- 12′V. VoytsekhovskyiDnipro-1
- 33′V. VoytsekhovskyiDnipro-1
- 71′V. PolyovyiDnipro-1
- 90′V. SupryagaDnipro-1
- 90′Oleksandr DubinaReal Pharm
What is the recent form of both teams?
Over their last 7 matches in all competitions, Dnipro-1 have 5 wins, 1 draws and 1 defeats; Real Pharm have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2017 | Nikopol(away) | 0-2 | Druha Liga - Group B |
| Aug 9, 2017 | Dnipro Dnipropetrovsk(home) | 0-0 | Druha Liga - Group B |
| Jul 31, 2017 | Tavriya(home) | 4-0 | Druha Liga - Group B |
| Jul 26, 2017 | Sumy(home) | 2-0 | Cup |
| Jul 21, 2017 | Metalurh Zaporizhya(away) | 8-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2017 | Inhulets II(home) | 5-0 | Druha Liga - Group B |
| Aug 10, 2017 | Mykolaiv II(away) | 3-0 | Druha Liga - Group B |
| Aug 5, 2017 | Enerhiya Nova Kakhovka(home) | 0-1 | Druha Liga - Group B |
| Jul 29, 2017 | Myr(home) | 0-2 | Druha Liga - Group B |
| Jul 22, 2017 | Nikopol(away) | 0-0 | Druha Liga - Group B |
How many goals should we expect?
Dnipro-1 score 2.9 and concede 0.3 goals per match over their last 7; Real Pharm score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dnipro-1 | 2.9 | 0.3 | 6 | 0/7 | 3/7 |
| Real Pharm | 1.1 | 1.1 | 6 | 5/15 | 6/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Real Pharm | 20 | 4 | 2 | 14 | 22 | 49 | 14 |
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