MSK Dnipro Cherkasy vs Tavriya: result 2-2 and analysis
Druha Liga - Group BGroup B - 8Kick-off on October 23, 2020 at 12:00 PM (UTC)Tsentralnyi miskyi Stadion, Cherkasy
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What was the result of MSK Dnipro Cherkasy vs Tavriya?
MSK Dnipro Cherkasy and Tavriya drew 2-2 on October 23, 2020.
Goalscorers
- 20′Vadym ChornyiMSK Dnipro Cherkasy (pen.)
- 37′Andrii FayukTavriya (pen.)
- 38′Vladyslav ZhavkoTavriya
- 58′Vadym LobodaMSK Dnipro Cherkasy
What is the recent form of both teams?
Over their last 7 matches in all competitions, MSK Dnipro Cherkasy have 1 wins, 3 draws and 3 defeats; Tavriya have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 27, 2020 | Real Pharm(home) | 0-1 | Druha Liga - Group B |
| Sep 12, 2020 | Cherkashchyna-Akademiya(away) | 0-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2020 | Cherkashchyna-Akademiya(home) | 2-1 | Druha Liga - Group B |
| Oct 9, 2020 | Metal Kharkiv(away) | 1-2 | Druha Liga - Group B |
| Sep 26, 2020 | Metalurh Zaporizhya(away) | 4-1 | Druha Liga - Group B |
| Sep 21, 2020 | Balkany Zorya(home) | 1-0 | Druha Liga - Group B |
| Sep 16, 2020 | Kryvbas KR(away) | 1-4 | Cup |
How many goals should we expect?
MSK Dnipro Cherkasy score 0.4 and concede 1.7 goals per match over their last 7; Tavriya score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSK Dnipro Cherkasy | 0.4 | 1.7 | 2 | 2/7 | 3/7 |
| Tavriya | 1.2 | 1.3 | 4 | 8/15 | 7/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tavriya | 19 | 9 | 6 | 4 | 31 | 19 | 33 |
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