Dunajska Streda vs Pohronie: result 5-1 and analysis
Super LigaRegular Season - 2Kick-off on July 28, 2019 at 05:00 PM (UTC)MOL Aréna, Dunajská Streda
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What was the result of Dunajska Streda vs Pohronie?
Dunajska Streda won 5-1 on July 28, 2019.
Goalscorers
- 4′K. VidaDunajska Streda
- 30′Z. KalmárDunajska Streda
- 54′A. TaiwoDunajska Streda
- 56′P. MazanPohronie (pen.)
- 75′K. VidaDunajska Streda
- 88′E. RamírezDunajska Streda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dunajska Streda have 8 wins, 3 draws and 4 defeats; Pohronie have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 25, 2019 | Atromitos Athinon(home) | 1-2 | UEFA Europa League |
| Jul 21, 2019 | Zlaté Moravce(away) | 2-1 | Super Liga |
| Jul 18, 2019 | Cracovia Krakow(away) | 2-2 | UEFA Europa League |
| Jul 11, 2019 | Cracovia Krakow(home) | 1-1 | UEFA Europa League |
| May 24, 2019 | Zemplín Michalovce(home) | 5-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2019 | Slovan Bratislava(home) | 1-3 | Super Liga |
| May 25, 2019 | Šamorín(away) | 3-0 | 2. liga |
| May 18, 2019 | Komárno(home) | 4-1 | 2. liga |
| May 12, 2019 | Žilina II(away) | 1-3 | 2. liga |
| May 3, 2019 | Lokomotíva Košice(home) | 4-0 | 2. liga |
How many goals should we expect?
Dunajska Streda score 1.9 and concede 1.1 goals per match over their last 15; Pohronie score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dunajska Streda | 1.9 | 1.1 | 5 | 9/15 | 9/15 |
| Pohronie | 1.6 | 1.1 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Dunajska Streda | 4 | 3 | 1 | 0 | 11 | 1 | 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