Petržalka vs Tatran Prešov: result 1-1 and analysis
2. ligaRegular Season - 13Kick-off on October 14, 2018 at 08:30 AM (UTC)Štadión FC Petržalka 1898, Bratislava
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What was the result of Petržalka vs Tatran Prešov?
Petržalka and Tatran Prešov drew 1-1 on October 14, 2018.
Goalscorers
- 29′205073Petržalka
- 85′205006Tatran Prešov
What is the recent form of both teams?
Over their last 12 matches in all competitions, Petržalka have 7 wins, 3 draws and 2 defeats; Tatran Prešov have 4, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Dukla Banská Bystrica(away) | 2-0 | 2. liga |
| Sep 30, 2018 | Dubnica(home) | 2-1 | 2. liga |
| Sep 22, 2018 | Lipany(away) | 2-0 | 2. liga |
| Sep 15, 2018 | Partizán Bardejov(away) | 1-1 | 2. liga |
| Sep 9, 2018 | Liptovský Mikuláš(home) | 2-0 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Partizán Bardejov(home) | 1-1 | 2. liga |
| Sep 29, 2018 | Liptovský Mikuláš(away) | 0-1 | 2. liga |
| Sep 23, 2018 | Slavoj Trebišov(home) | 3-0 | 2. liga |
| Sep 14, 2018 | Pohronie(away) | 1-2 | 2. liga |
| Sep 8, 2018 | Inter Bratislava(home) | 1-2 | 2. liga |
How many goals should we expect?
Petržalka score 1.6 and concede 0.8 goals per match over their last 12; Tatran Prešov score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petržalka | 1.6 | 0.8 | 4 | 7/12 | 5/12 |
| Tatran Prešov | 1.5 | 1.2 | 2 | 8/12 | 8/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Petržalka sit 1st in 2. liga (12 points from 4 matches) and Tatran Prešov sit 3rd (10 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Petržalka | 4 | 4 | 0 | 0 | 13 | 2 | 12 |
| 3 | Tatran Prešov | 5 | 3 | 1 | 1 | 8 | 7 | 10 |
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