Uzhhorod vs Bukovyna: result 1-0 and analysis
Druha LigaGroup A - 12Kick-off on September 30, 2019 at 01:30 PM (UTC)Stadion Avanhard, Uzhhorod
Full time
What was the result of Uzhhorod vs Bukovyna?
Uzhhorod won 1-0 on September 30, 2019.
Goalscorers
- 39′Adrian PukanychUzhhorod
What is the recent form of both teams?
Over their last 11 matches in all competitions, Uzhhorod have 3 wins, 3 draws and 5 defeats; Bukovyna have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2019 | Nyva Vinnytsya(away) | 2-2 | Druha Liga |
| Sep 22, 2019 | Dinaz Vyshhorod(home) | 2-4 | Druha Liga |
| Sep 18, 2019 | Nyva Ternopil(away) | 0-0 | Druha Liga |
| Sep 13, 2019 | Obolon'-Brovar II(home) | 3-1 | Druha Liga |
| Aug 31, 2019 | Chayka(home) | 2-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2019 | Lviv(home) | 0-2 | Cup |
| Sep 21, 2019 | Nyva Vinnytsya(away) | 2-2 | Druha Liga |
| Sep 18, 2019 | Chayka(home) | 2-1 | Druha Liga |
| Sep 14, 2019 | Veres Rivne(away) | 0-2 | Druha Liga |
| Sep 8, 2019 | Podillya Khmelnytskyi(home) | 1-4 | Druha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Uzhhorod win(s), 0 draw(s), 0 Bukovyna win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 27, 2019 | Bukovyna 1-3 Uzhhorod | Druha Liga |
How many goals should we expect?
Uzhhorod score 1.4 and concede 1.5 goals per match over their last 11; Bukovyna score 1.4 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Uzhhorod | 1.4 | 1.5 | 2 | 8/11 | 8/11 |
| Bukovyna | 1.4 | 2.1 | 1 | 9/15 | 10/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Uzhhorod | 30 | 13 | 5 | 12 | 40 | 37 | 44 |
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