Tavriya vs Cherkashchyna-Akademiya: result 2-1 and analysis
Druha Liga - Group BGroup B - 7Kick-off on October 16, 2020 at 12:00 PM (UTC)Stadion Mashynobudivnyk, Beryslav
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What was the result of Tavriya vs Cherkashchyna-Akademiya?
Tavriya won 2-1 on October 16, 2020.
Goalscorers
- 5′Yevhen SokolanTavriya
- 70′Serhii PichuginCherkashchyna-Akademiya
- 90′Vadym GryppaTavriya (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tavriya have 6 wins, 2 draws and 7 defeats; Cherkashchyna-Akademiya have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 12, 2020 | Enerhiya Nova Kakhovka(away) | 2-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Mykolaiv II(home) | 2-0 | Druha Liga - Group B |
| 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 |
How many goals should we expect?
Tavriya score 1.1 and concede 1.4 goals per match over their last 15; Cherkashchyna-Akademiya score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tavriya | 1.1 | 1.4 | 4 | 7/15 | 6/15 |
| Cherkashchyna-Akademiya | 1.1 | 1.9 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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