Dubnica vs Petržalka: result 4-1 and analysis
2. ligaRegular Season - 26Kick-off on April 28, 2019 at 03:00 PM (UTC)Mestský futbalový štadión Dubnica, Dubnica nad Váhom
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What was the result of Dubnica vs Petržalka?
Dubnica won 4-1 on April 28, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dubnica have 6 wins, 5 draws and 4 defeats; Petržalka have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2019 | Partizán Bardejov(away) | 1-2 | 2. liga |
| Apr 20, 2019 | Liptovský Mikuláš(home) | 3-2 | 2. liga |
| Apr 14, 2019 | Slavoj Trebišov(away) | 0-2 | 2. liga |
| Apr 6, 2019 | Pohronie(home) | 2-0 | 2. liga |
| Mar 30, 2019 | Inter Bratislava(away) | 2-1 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2019 | Lipany(home) | 4-1 | 2. liga |
| Apr 21, 2019 | Partizán Bardejov(home) | 0-1 | 2. liga |
| Apr 13, 2019 | Liptovský Mikuláš(away) | 2-1 | 2. liga |
| Apr 5, 2019 | Slavoj Trebišov(home) | 0-0 | 2. liga |
| Mar 29, 2019 | Pohronie(away) | 0-2 | 2. liga |
What does the head-to-head say?
In the last meeting: 0 Dubnica wins, 0 draws, 1 Petržalka win.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2018 | Petržalka 2-1 Dubnica | 2. liga |
How many goals should we expect?
Dubnica score 1.7 and concede 1.1 goals per match over their last 15; Petržalka score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dubnica | 1.7 | 1.1 | 3 | 10/15 | 7/15 |
| Petržalka | 1.2 | 1.4 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Petržalka | 12 | 9 | 2 | 1 | 22 | 8 | 29 |
A question about Dubnica vs Petržalka?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy