FC Vaduz vs Dnipro-1: result 1-2 and analysis
UEFA Europa Conference LeagueGroup Stage - 4Kick-off on October 13, 2022 at 07:00 PM (UTC)Rheinpark Stadion
Full time
What was the result of FC Vaduz vs Dnipro-1?
Dnipro-1 won 1-2 on October 13, 2022.
Goalscorers
- 25′Y. HamacheDnipro-1
- 30′E. RastoderFC Vaduz
- 90′A. DovbykDnipro-1
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Vaduz have 4 wins, 6 draws and 5 defeats; Dnipro-1 have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2022 | FC Schaffhausen(away) | 2-2 | Challenge League |
| Oct 6, 2022 | Dnipro-1(away) | 2-2 | UEFA Europa Conference League |
| Oct 2, 2022 | Stade Lausanne-Ouchy(home) | 0-2 | Challenge League |
| Sep 20, 2022 | Eschen / Mauren III(away) | 8-0 | Cup |
| Sep 15, 2022 | AZ Alkmaar(away) | 1-4 | UEFA Europa Conference League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2022 | Zorya Luhansk(home) | 3-0 | Premier League |
| Oct 6, 2022 | FC Vaduz(home) | 2-2 | UEFA Europa Conference League |
| Oct 1, 2022 | Lviv(away) | 3-0 | Premier League |
| Sep 15, 2022 | Apollon Limassol(away) | 3-1 | UEFA Europa Conference League |
| Sep 11, 2022 | Metalist 1925 Kharkiv(home) | 3-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 FC Vaduz win(s), 1 draw(s), 0 Dnipro-1 win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2022 | Dnipro-1 2-2 FC Vaduz | UEFA Europa Conference League |
How many goals should we expect?
FC Vaduz score 2.9 and concede 1.7 goals per match over their last 15; Dnipro-1 score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Vaduz | 2.9 | 1.7 | 4 | 10/15 | 9/15 |
| Dnipro-1 | 1.9 | 0.9 | 7 | 6/15 | 10/15 |
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
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