Poprad vs Šamorín: result 3-2 and analysis
2. ligaRegular Season - 24Kick-off on April 19, 2019 at 04:00 PM (UTC)Futbalový štadion NTC Poprad, Poprad
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What was the result of Poprad vs Šamorín?
Poprad won 3-2 on April 19, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Poprad have 10 wins, 1 draw and 4 defeats; Šamorín have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Komárno(away) | 1-0 | 2. liga |
| Apr 5, 2019 | Žilina II(home) | 1-0 | 2. liga |
| Mar 29, 2019 | Lokomotíva Košice(away) | 0-2 | 2. liga |
| Mar 23, 2019 | Lipany(away) | 1-2 | 2. liga |
| Mar 16, 2019 | Skalica(home) | 1-0 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Skalica(home) | 1-0 | 2. liga |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 2 Poprad wins, 0 draws, 1 Šamorín win.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2018 | Šamorín 0-4 Poprad | 2. liga |
| May 13, 2018 | Poprad 4-0 Šamorín | 2. liga |
| Oct 28, 2017 | Šamorín 3-0 Poprad | 2. liga |
How many goals should we expect?
Poprad score 1.9 and concede 1.1 goals per match over their last 15; Šamorín score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Poprad | 1.9 | 1.1 | 6 | 7/15 | 10/15 |
| Šamorín | 1.7 | 1.3 | 3 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Šamorín | 12 | 9 | 1 | 2 | 23 | 13 | 28 |
A question about Poprad vs Šamorín?
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