Uzhhorod vs Dinaz Vyshhorod: result 2-4 and analysis
Druha LigaGroup A - 11Kick-off on September 22, 2019 at 01:00 PM (UTC)Stadion Avanhard, Uzhhorod
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What was the result of Uzhhorod vs Dinaz Vyshhorod?
Dinaz Vyshhorod won 2-4 on September 22, 2019.
Goalscorers
- 14′Oleksii BryzhenkoDinaz Vyshhorod (pen.)
- 16′Adrian PukanychUzhhorod
- 33′Illia TereshchenkoDinaz Vyshhorod
- 44′K. PasichnikUzhhorod
- 48′V. KoreshkovDinaz Vyshhorod
- 76′Tamaz AvdalyanDinaz Vyshhorod
What is the recent form of both teams?
Over their last 9 matches in all competitions, Uzhhorod have 3 wins, 2 draws and 4 defeats; Dinaz Vyshhorod have 4, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 24, 2019 | Veres Rivne(home) | 1-2 | Druha Liga |
| Aug 20, 2019 | Alians Lypova Dolyna(away) | 0-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2019 | Nyva Vinnytsya(home) | 2-1 | Druha Liga |
| Sep 14, 2019 | Chayka(away) | 0-0 | Druha Liga |
| Sep 8, 2019 | Veres Rivne(home) | 4-0 | Druha Liga |
| Sep 4, 2019 | Podillya Khmelnytskyi(away) | 1-1 | Druha Liga |
| Aug 31, 2019 | Kalush(home) | 0-3 | Druha Liga |
How many goals should we expect?
Uzhhorod score 1.2 and concede 1.2 goals per match over their last 9; Dinaz Vyshhorod score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Uzhhorod | 1.2 | 1.2 | 2 | 6/9 | 6/9 |
| Dinaz Vyshhorod | 1.2 | 1.2 | 4 | 4/11 | 6/11 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Dinaz Vyshhorod | 3 | 0 | 2 | 1 | 7 | 11 | 2 |
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