Šamorín vs Skalica: result 1-0 and analysis
2. ligaRegular Season - 23Kick-off on April 13, 2019 at 02:00 PM (UTC)Mestský štadión, Šamorín
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What was the result of Šamorín vs Skalica?
Šamorín won 1-0 on April 13, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šamorín have 5 wins, 4 draws and 6 defeats; Skalica have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | Tatran Prešov(away) | 0-2 | 2. liga |
| Mar 30, 2019 | Dukla Banská Bystrica(home) | 1-1 | 2. liga |
| Mar 23, 2019 | Dubnica(away) | 1-1 | 2. liga |
| Mar 16, 2019 | Petržalka(home) | 2-1 | 2. liga |
| Mar 9, 2019 | Partizán Bardejov(away) | 0-1 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2019 | Komárno(home) | 2-1 | 2. liga |
| Mar 31, 2019 | Žilina II(away) | 3-4 | 2. liga |
| Mar 22, 2019 | Lokomotíva Košice(home) | 2-1 | 2. liga |
| Mar 16, 2019 | Poprad(away) | 0-1 | 2. liga |
| Mar 9, 2019 | Lipany(away) | 0-0 | 2. liga |
What does the head-to-head say?
Across the last 3 meetings: 0 Šamorín wins, 1 draw, 2 Skalica wins.
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2018 | Skalica 2-0 Šamorín | 2. liga |
| Apr 11, 2018 | Šamorín 1-1 Skalica | 2. liga |
| Aug 19, 2017 | Skalica 2-0 Šamorín | 2. liga |
How many goals should we expect?
Šamorín score 1.7 and concede 1.4 goals per match over their last 15; Skalica score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šamorín | 1.7 | 1.4 | 2 | 8/15 | 8/15 |
| Skalica | 1.2 | 1.2 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Šamorín | 13 | 9 | 2 | 2 | 25 | 15 | 29 |
A question about Šamorín 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