Cherkashchyna-Akademiya vs Mykolaiv II: result 2-0 and analysis
Druha Liga - Group BGroup B - 6Kick-off on October 10, 2020 at 12:00 PM (UTC)Tsentralnyi miskyi Stadion, Cherkasy
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What was the result of Cherkashchyna-Akademiya vs Mykolaiv II?
Cherkashchyna-Akademiya won 2-0 on October 10, 2020.
Goalscorers
- 81′Rodion GoncharCherkashchyna-Akademiya (o.g.)
- 85′O. LitovchenkoCherkashchyna-Akademiya (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cherkashchyna-Akademiya have 2 wins, 4 draws and 9 defeats; Mykolaiv II have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2020 | Peremoga(away) | 1-1 | Druha Liga - Group B |
| Sep 26, 2020 | Nikopol(home) | 2-0 | Druha Liga - Group B |
| Sep 19, 2020 | Real Pharm(away) | 2-0 | Druha Liga - Group B |
| Sep 12, 2020 | MSK Dnipro Cherkasy(home) | 0-0 | Druha Liga - Group B |
| Aug 26, 2020 | Kryvbas KR(away) | 2-4 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Metal Kharkiv(home) | 0-2 | Druha Liga - Group B |
| Sep 27, 2020 | Kryvbas KR(away) | 1-1 | Druha Liga - Group B |
| Sep 22, 2020 | Metalurh Zaporizhya(home) | 0-1 | Druha Liga - Group B |
| Sep 11, 2020 | Balkany Zorya(away) | 0-4 | Druha Liga - Group B |
| Sep 6, 2020 | Enerhiya Nova Kakhovka(home) | 1-2 | Druha Liga - Group B |
How many goals should we expect?
Cherkashchyna-Akademiya score 0.9 and concede 2.2 goals per match over their last 15; Mykolaiv II score 0.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cherkashchyna-Akademiya | 0.9 | 2.2 | 3 | 8/15 | 7/15 |
| Mykolaiv II | 0.4 | 1.7 | 3 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Mykolaiv II | 22 | 1 | 5 | 16 | 13 | 51 | 8 |
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