Puskas Academy vs Dnipro-1: result 3-0 and analysis
UEFA Europa Conference League2nd Qualifying RoundKick-off on August 1, 2024 at 07:00 PM (UTC)Puskás Akadémia Pancho Aréna, Felcsút
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What was the result of Puskas Academy vs Dnipro-1?
Puskas Academy won 3-0 on August 1, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Puskas Academy have 8 wins, 5 draws and 2 defeats; Dnipro-1 have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2024 | Ujpest(away) | 2-1 | NB I |
| Jul 25, 2024 | Dnipro-1(away) | 3-0 | UEFA Europa Conference League |
| Jul 16, 2024 | Lask Linz(away) | 0-0 | Friendlies Clubs |
| Jul 12, 2024 | Slovan Liberec(away) | 1-1 | Friendlies Clubs |
| Jul 9, 2024 | SKN ST. Polten(home) | 1-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 25, 2024 | Puskas Academy(home) | 0-3 | UEFA Europa Conference League |
| May 25, 2024 | Chornomorets(away) | 2-0 | Premier League |
| May 19, 2024 | Shakhtar Donetsk(home) | 1-1 | Premier League |
| May 12, 2024 | Oleksandria(away) | 0-1 | Premier League |
| May 6, 2024 | Kryvbas KR(home) | 1-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 1 Puskas Academy win(s), 0 draw(s), 0 Dnipro-1 win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 25, 2024 | Dnipro-1 0-3 Puskas Academy | UEFA Europa Conference League |
Last archived meeting: Dnipro-1 vs Puskas Academy on Jul 25, 2024
How many goals should we expect?
Puskas Academy score 2.0 and concede 0.8 goals per match over their last 15; Dnipro-1 score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puskas Academy | 2.0 | 0.8 | 5 | 8/15 | 8/15 |
| Dnipro-1 | 1.1 | 1.0 | 4 | 8/15 | 4/15 |
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