Skalica vs Pohronie: result 0-2 and analysis
2. ligaRegular Season - 10Kick-off on September 22, 2018 at 05:00 PM (UTC)Mestský štadión, Skalica
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What was the result of Skalica vs Pohronie?
Pohronie won 0-2 on September 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skalica have 13 wins, 1 draw and 1 defeat; Pohronie 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 |
|---|---|---|---|
| Sep 15, 2018 | Inter Bratislava(away) | 1-0 | 2. liga |
| Sep 8, 2018 | Šamorín(home) | 2-0 | 2. liga |
| Sep 1, 2018 | Komárno(away) | 1-3 | 2. liga |
| Aug 24, 2018 | Žilina II(home) | 5-1 | 2. liga |
| Aug 17, 2018 | Lokomotíva Košice(away) | 3-0 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2018 | Tatran Prešov(home) | 2-1 | 2. liga |
| Sep 7, 2018 | Dukla Banská Bystrica(away) | 1-0 | 2. liga |
| Aug 31, 2018 | Dubnica(home) | 2-1 | 2. liga |
| Aug 26, 2018 | Petržalka(away) | 1-1 | 2. liga |
| Aug 17, 2018 | Partizán Bardejov(home) | 4-1 | 2. liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Skalica wins, 0 draws, 0 Pohronie wins.
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2018 | Pohronie 0-2 Skalica | 2. liga |
| Sep 30, 2017 | Skalica 1-0 Pohronie | 2. liga |
How many goals should we expect?
Skalica score 2.3 and concede 0.5 goals per match over their last 15; Pohronie score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skalica | 2.3 | 0.5 | 10 | 5/15 | 9/15 |
| Pohronie | 1.4 | 1.1 | 1 | 12/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Pohronie | 16 | 8 | 3 | 5 | 28 | 20 | 27 |
A question about Skalica vs Pohronie?
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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