Cherkashchyna-Akademiya vs Yarud Mariupol': result 1-0 and analysis
Druha Liga - Group BGroup B - 8Kick-off on November 25, 2020 at 11:00 AM (UTC)Tsentralnyi miskyi Stadion, Cherkasy
Full time
What was the result of Cherkashchyna-Akademiya vs Yarud Mariupol'?
Cherkashchyna-Akademiya won 1-0 on November 25, 2020.
Goalscorers
- 50′Yurii MaleyCherkashchyna-Akademiya (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cherkashchyna-Akademiya have 4 wins, 5 draws and 6 defeats; Yarud Mariupol' have 1, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2020 | Kryvbas KR(home) | 1-1 | Druha Liga - Group B |
| Nov 7, 2020 | Balkany Zorya(home) | 2-1 | Druha Liga - Group B |
| Oct 31, 2020 | Enerhiya Nova Kakhovka(away) | 2-2 | Druha Liga - Group B |
| Oct 16, 2020 | Tavriya(away) | 1-2 | Druha Liga - Group B |
| Oct 10, 2020 | Mykolaiv II(home) | 2-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2020 | Kryvbas KR(away) | 1-5 | Druha Liga - Group B |
| Nov 6, 2020 | Real Pharm(away) | 2-1 | Druha Liga - Group B |
| Oct 31, 2020 | MSK Dnipro Cherkasy(home) | 2-2 | Druha Liga - Group B |
| Oct 16, 2020 | Metal Kharkiv(home) | 0-3 | Druha Liga - Group B |
| Oct 3, 2020 | Metalurh Zaporizhya(home) | 0-3 | Druha Liga - Group B |
How many goals should we expect?
Cherkashchyna-Akademiya score 1.1 and concede 1.6 goals per match over their last 15; Yarud Mariupol' score 0.9 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cherkashchyna-Akademiya | 1.1 | 1.6 | 4 | 8/15 | 6/15 |
| Yarud Mariupol' | 0.9 | 2.8 | 0 | 6/9 | 8/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Yarud Mariupol' | 20 | 6 | 6 | 8 | 36 | 29 | 24 |
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