MSK Dnipro Cherkasy vs Metalurh Zaporizhya: result 0-1 and analysis
Druha Liga - Group BGroup B - 12Kick-off on November 20, 2020 at 11:00 AM (UTC)Tsentralnyi miskyi Stadion, Cherkasy
Full time
What was the result of MSK Dnipro Cherkasy vs Metalurh Zaporizhya?
Metalurh Zaporizhya won 0-1 on November 20, 2020.
Goalscorers
- 62′E. SarapiyMetalurh Zaporizhya
What is the recent form of both teams?
Over their last 9 matches in all competitions, MSK Dnipro Cherkasy have 1 wins, 5 draws and 3 defeats; Metalurh Zaporizhya have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2020 | Yarud Mariupol'(away) | 2-2 | Druha Liga - Group B |
| Oct 23, 2020 | Tavriya(home) | 2-2 | Druha Liga - Group B |
| Oct 17, 2020 | Mykolaiv II(away) | 2-1 | Druha Liga - Group B |
| Oct 10, 2020 | Peremoga(home) | 1-1 | Druha Liga - Group B |
| Oct 4, 2020 | Nikopol(away) | 0-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2020 | Metal Kharkiv(away) | 0-2 | Druha Liga - Group B |
| Oct 31, 2020 | Kryvbas KR(home) | 2-2 | Druha Liga - Group B |
| Oct 18, 2020 | Balkany Zorya(away) | 2-0 | Druha Liga - Group B |
| Oct 10, 2020 | Enerhiya Nova Kakhovka(home) | 4-0 | Druha Liga - Group B |
| Oct 3, 2020 | Yarud Mariupol'(away) | 3-0 | Druha Liga - Group B |
How many goals should we expect?
MSK Dnipro Cherkasy score 0.8 and concede 1.8 goals per match over their last 9; Metalurh Zaporizhya score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSK Dnipro Cherkasy | 0.8 | 1.8 | 2 | 4/9 | 5/9 |
| Metalurh Zaporizhya | 1.3 | 1.3 | 7 | 5/15 | 7/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Metalurh Zaporizhya | 19 | 13 | 6 | 0 | 34 | 7 | 45 |
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