Obolon'-Brovar II vs Polessya: result 0-3 and analysis
Druha LigaGroup A - 14Kick-off on October 9, 2019 at 12:30 PM (UTC)Stadion Yuvilejnyj, Bucha
Full time
What was the result of Obolon'-Brovar II vs Polessya?
Polessya won 0-3 on October 9, 2019.
Goalscorers
- 12′O. ChernetskyiPolessya
- 74′Y. TerziPolessya
- 88′D. GalenkovPolessya
What is the recent form of both teams?
Over their last 12 matches in all competitions, Obolon'-Brovar II have 2 wins, 2 draws and 8 defeats; Polessya have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Bukovyna(away) | 0-3 | Druha Liga |
| Sep 30, 2019 | Dinaz Vyshhorod(home) | 1-2 | Druha Liga |
| Sep 22, 2019 | Nyva Ternopil(home) | 1-2 | Druha Liga |
| Sep 13, 2019 | Uzhhorod(away) | 1-3 | Druha Liga |
| Sep 8, 2019 | Nyva Vinnytsya(home) | 1-2 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Uzhhorod(home) | 0-0 | Druha Liga |
| Sep 29, 2019 | Nyva Vinnytsya(away) | 0-0 | Druha Liga |
| Sep 23, 2019 | Chayka(away) | 1-0 | Druha Liga |
| Sep 18, 2019 | Veres Rivne(home) | 2-0 | Druha Liga |
| Sep 14, 2019 | Podillya Khmelnytskyi(away) | 0-1 | Druha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Obolon'-Brovar II win(s), 0 draw(s), 1 Polessya win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2019 | Polessya 4-1 Obolon'-Brovar II | Druha Liga |
Last archived meeting: Polessya vs Obolon'-Brovar II on Aug 11, 2019
How many goals should we expect?
Obolon'-Brovar II score 0.8 and concede 2.0 goals per match over their last 12; Polessya score 1.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Obolon'-Brovar II | 0.8 | 2.0 | 2 | 7/12 | 9/12 |
| Polessya | 1.1 | 0.5 | 8 | 3/15 | 3/15 |
Over the last 12 matches in all competitions.
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