Petržalka vs Skalica: result 2-2 and analysis
2. ligaRegular Season - 29Kick-off on May 18, 2019 at 03:00 PM (UTC)Štadión FC Petržalka 1898, Bratislava
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What was the result of Petržalka vs Skalica?
Petržalka and Skalica drew 2-2 on May 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Petržalka have 4 wins, 4 draws and 7 defeats; Skalica have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Tatran Prešov(away) | 1-1 | 2. liga |
| May 5, 2019 | Dukla Banská Bystrica(home) | 3-1 | 2. liga |
| Apr 28, 2019 | Dubnica(away) | 1-4 | 2. liga |
| Apr 24, 2019 | Lipany(home) | 4-1 | 2. liga |
| Apr 21, 2019 | Partizán Bardejov(home) | 0-1 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Partizán Bardejov(home) | 1-2 | 2. liga |
| May 4, 2019 | Liptovský Mikuláš(away) | 3-1 | 2. liga |
| Apr 30, 2019 | Slavoj Trebišov(home) | 2-0 | 2. liga |
| Apr 24, 2019 | Pohronie(away) | 0-3 | 2. liga |
| Apr 19, 2019 | Inter Bratislava(home) | 2-0 | 2. liga |
What does the head-to-head say?
In the last meeting: 0 Petržalka wins, 0 draws, 1 Skalica win.
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2018 | Skalica 2-0 Petržalka | 2. liga |
How many goals should we expect?
Petržalka score 1.2 and concede 1.7 goals per match over their last 15; Skalica score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petržalka | 1.2 | 1.7 | 2 | 9/15 | 8/15 |
| Skalica | 1.3 | 1.5 | 4 | 7/15 | 8/15 |
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 Petržalka vs Skalica?
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