Pohronie vs Skalica: result 0-2 and analysis
2. ligaRegular Season - 25Kick-off on April 20, 2018 at 04:00 PM (UTC)Futbalový štadión Žiar nad Hronom, Žiar nad Hronom
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What was the result of Pohronie vs Skalica?
Skalica won 0-2 on April 20, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pohronie have 4 wins, 8 draws and 3 defeats; Skalica have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | Nové Mesto nad Váhom(away) | 1-1 | 2. liga |
| Apr 11, 2018 | Lokomotíva Zvolen(home) | 3-0 | 2. liga |
| Apr 6, 2018 | Komárno(home) | 2-1 | 2. liga |
| Apr 1, 2018 | Slavoj Trebišov(away) | 0-0 | 2. liga |
| Mar 28, 2018 | Spišská Nová Ves(away) | 2-2 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2018 | Liptovský Mikuláš(home) | 4-1 | 2. liga |
| Apr 11, 2018 | Šamorín(away) | 1-1 | 2. liga |
| Apr 7, 2018 | Partizán Bardejov(away) | 0-2 | 2. liga |
| Mar 31, 2018 | Lokomotíva Košice(home) | 2-1 | 2. liga |
| Mar 28, 2018 | Podbrezová II(away) | 0-1 | 2. liga |
What does the head-to-head say?
In the last meeting: 0 Pohronie wins, 0 draws, 1 Skalica win.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2017 | Skalica 1-0 Pohronie | 2. liga |
How many goals should we expect?
Pohronie score 1.3 and concede 1.1 goals per match over their last 15; Skalica score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pohronie | 1.3 | 1.1 | 3 | 10/15 | 6/15 |
| Skalica | 1.3 | 1.1 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Pohronie | 15 | 7 | 3 | 5 | 23 | 19 | 24 |
A question about Pohronie 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