Humenné vs Púchov: result 1-3 and analysis
2. ligaRegular Season - 13Kick-off on October 15, 2022 at 12:30 PM (UTC)Chemlonský štadión, Humenné
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What was the result of Humenné vs Púchov?
Púchov won 1-3 on October 15, 2022.
Goalscorers
- 18′T. SlovákPúchov
- 52′T. VaľovčinHumenné
- 58′P. MrázPúchov
- 82′Erik PucheľPúchov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Humenné have 5 wins, 5 draws and 5 defeats; Púchov have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2022 | Dubnica(away) | 0-0 | 2. liga |
| Oct 5, 2022 | Slavoj Trebišov(home) | 0-1 | 2. liga |
| Sep 18, 2022 | Žilina II(away) | 1-0 | 2. liga |
| Sep 14, 2022 | Švošov(away) | 2-0 | Cup |
| Sep 10, 2022 | Petržalka(home) | 1-1 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2022 | FK Košice(home) | 0-2 | 2. liga |
| Oct 1, 2022 | Komárno(away) | 1-1 | 2. liga |
| Sep 28, 2022 | Galanta(away) | 6-0 | Cup |
| Sep 16, 2022 | Pohronie(home) | 0-1 | 2. liga |
| Sep 10, 2022 | Tatran Prešov(away) | 1-2 | 2. liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Humenné win(s), 0 draw(s), 1 Púchov win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 6, 2022 | Humenné 0-3 Púchov | 2. liga |
| Aug 14, 2021 | Púchov 0-1 Humenné | 2. liga |
How many goals should we expect?
Humenné score 0.8 and concede 1.1 goals per match over their last 15; Púchov score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Humenné | 0.8 | 1.1 | 6 | 5/15 | 6/15 |
| Púchov | 1.8 | 1.3 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Humenné | 5 | 2 | 0 | 3 | 4 | 8 | 6 |
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