Tavriya vs Balkany Zorya: result 1-0 and analysis
Druha Liga - Group BGroup B - 3Kick-off on September 21, 2020 at 01:00 PM (UTC)Stadion Mashynobudivnyk, Beryslav
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What was the result of Tavriya vs Balkany Zorya?
Tavriya won 1-0 on September 21, 2020.
Goalscorers
- 82′Pavlo ChmelenkoTavriya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tavriya have 4 wins, 3 draws and 8 defeats; Balkany Zorya have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2020 | Kryvbas KR(away) | 1-4 | Cup |
| Sep 12, 2020 | Enerhiya Nova Kakhovka(away) | 2-0 | Druha Liga - Group B |
| Sep 6, 2020 | Yarud Mariupol'(home) | 1-1 | Druha Liga - Group B |
| Aug 30, 2020 | Real Pharm(home) | 2-1 | Cup |
| Nov 23, 2019 | Mykolaiv II(away) | 1-1 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2020 | Mykolaiv II(home) | 4-0 | Druha Liga - Group B |
| Sep 6, 2020 | Peremoga(away) | 0-0 | Druha Liga - Group B |
| Aug 29, 2020 | Mykolaiv(home) | 0-1 | Cup |
| Aug 13, 2020 | Inhulets(home) | 1-1 | Persha Liga |
| Aug 7, 2020 | Kremin'(away) | 0-0 | Persha Liga |
How many goals should we expect?
Tavriya score 0.8 and concede 1.5 goals per match over their last 15; Balkany Zorya score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tavriya | 0.8 | 1.5 | 3 | 7/15 | 5/15 |
| Balkany Zorya | 1.1 | 1.6 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tavriya sit 5th in Druha Liga - Group B (33 points from 19 matches) and Balkany Zorya sit 4th (39 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Balkany Zorya | 20 | 10 | 9 | 1 | 34 | 14 | 39 |
| 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