Dinaz Vyshhorod vs Kudrivka: result 0-1 and analysis
Persha LigaRegular Season - 11Kick-off on October 10, 2024 at 10:00 AM (UTC)Stadion Dinaz, Demydiv
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What was the result of Dinaz Vyshhorod vs Kudrivka?
Kudrivka won 0-1 on October 10, 2024.
Goalscorers
- 10′O. LitovchenkoKudrivka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinaz Vyshhorod have 4 wins, 5 draws and 6 defeats; Kudrivka have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2024 | Viktoriya Mykolaivka(away) | 0-0 | Persha Liga |
| Sep 29, 2024 | Metalurh Zaporizhya(home) | 2-0 | Persha Liga |
| Sep 24, 2024 | Viktoriya Mykolaivka(home) | 1-1 | Persha Liga |
| Sep 20, 2024 | Kremin'(home) | 0-1 | Persha Liga |
| Sep 16, 2024 | UCSA(away) | 0-5 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2024 | UCSA(away) | 4-3 | Persha Liga |
| Sep 21, 2024 | Metalist 1925 Kharkiv(home) | 1-1 | Persha Liga |
| Sep 16, 2024 | Yarud Mariupol'(away) | 0-0 | Persha Liga |
| Sep 11, 2024 | SK Poltava(home) | 0-0 | Persha Liga |
| Sep 7, 2024 | Kremin'(home) | 2-1 | Persha Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Dinaz Vyshhorod win(s), 1 draw(s), 1 Kudrivka win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2024 | Kudrivka 0-0 Dinaz Vyshhorod | Persha Liga |
| Aug 3, 2024 | Dinaz Vyshhorod 1-2 Kudrivka | Cup |
Last archived meeting: Kudrivka vs Dinaz Vyshhorod on Aug 18, 2024
How many goals should we expect?
Dinaz Vyshhorod score 1.1 and concede 1.5 goals per match over their last 15; Kudrivka score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinaz Vyshhorod | 1.1 | 1.5 | 6 | 5/15 | 7/15 |
| Kudrivka | 1.2 | 1.5 | 4 | 7/15 | 9/15 |
Over the last 15 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