Real Pharm vs Cherkashchyna-Akademiya: result 0-2 and analysis
Druha Liga - Group BGroup B - 3Kick-off on September 19, 2020 at 01:30 PM (UTC)Stadion FSK Ivan, Odesa
Full time
What was the result of Real Pharm vs Cherkashchyna-Akademiya?
Cherkashchyna-Akademiya won 0-2 on September 19, 2020.
Goalscorers
- 41′Vladyslav KabanyukCherkashchyna-Akademiya
- 82′Yurii MaleyCherkashchyna-Akademiya (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Pharm have 4 wins, 2 draws and 9 defeats; Cherkashchyna-Akademiya have 0, 3 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2020 | Metal Kharkiv(away) | 0-6 | Druha Liga - Group B |
| Sep 5, 2020 | Kryvbas KR(home) | 0-1 | Druha Liga - Group B |
| Aug 30, 2020 | Tavriya(away) | 1-2 | Cup |
| Nov 23, 2019 | Chornomorets II(home) | 0-3 | Druha Liga - Group B |
| Nov 15, 2019 | Avanhard II(away) | 2-1 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | MSK Dnipro Cherkasy(home) | 0-0 | Druha Liga - Group B |
| Aug 26, 2020 | Kryvbas KR(away) | 2-4 | Cup |
| Aug 20, 2020 | Veres Rivne(home) | 1-1 | Persha Liga |
| Aug 16, 2020 | Veres Rivne(away) | 0-2 | Persha Liga |
| Aug 11, 2020 | Mykolaiv(home) | 0-4 | Persha Liga |
How many goals should we expect?
Real Pharm score 0.7 and concede 1.9 goals per match over their last 15; Cherkashchyna-Akademiya score 0.7 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Pharm | 0.7 | 1.9 | 3 | 6/15 | 8/15 |
| Cherkashchyna-Akademiya | 0.7 | 2.5 | 1 | 8/15 | 8/15 |
Over the last 15 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