Humenné vs Vranov nad Topľou: result 4-0 and analysis
3. liga - EastEast - 4Kick-off on September 1, 2020 at 02:00 PM (UTC)Chemlonský štadión, Humenné
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What was the result of Humenné vs Vranov nad Topľou?
Humenné won 4-0 on September 1, 2020.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Humenné have 4 wins, 1 draws and 0 defeats; Vranov nad Topľou have 5, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | Slávia TU Košice(home) | 2-1 | 3. liga - East |
| Aug 22, 2020 | Tatran Prešov(home) | 2-1 | 3. liga - East |
| Aug 8, 2020 | Mladosť Kalša(home) | 5-2 | 3. liga - East |
| Aug 5, 2020 | Spišské Podhradie(away) | 5-0 | 3. liga - East |
| Aug 1, 2020 | Lipany(home) | 1-1 | 3. liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | Spišská Nová Ves(away) | 2-0 | 3. liga - East |
| Aug 23, 2020 | Slávia TU Košice(away) | 0-3 | 3. liga - East |
| Aug 19, 2020 | Veľké Revištia(away) | 4-0 | Cup |
| Aug 8, 2020 | Tatran Prešov(home) | 1-2 | 3. liga - East |
| Aug 5, 2020 | Mladosť Kalša(away) | 1-0 | 3. liga - East |
How many goals should we expect?
Humenné score 3.0 and concede 1.0 goals per match over their last 5; Vranov nad Topľou score 2.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Humenné | 3.0 | 1.0 | 1 | 4/5 | 4/5 |
| Vranov nad Topľou | 2.3 | 1.0 | 3 | 3/7 | 5/7 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Humenné sit 1st in 3. liga - East (68 points from 26 matches) and Vranov nad Topľou sit 12th (25 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Humenné | 26 | 21 | 5 | 0 | 88 | 20 | 68 |
| 12 | Vranov nad Topľou | 26 | 5 | 10 | 11 | 33 | 45 | 25 |
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