Humenné vs MSK Tesla Stropkov: result 5-1 and analysis
3. liga - EastEast - 8Kick-off on September 12, 2020 at 01:30 PM (UTC)Chemlonský štadión, Humenné
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What was the result of Humenné vs MSK Tesla Stropkov?
Humenné won 5-1 on September 12, 2020.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Humenné have 6 wins, 1 draws and 0 defeats; MSK Tesla Stropkov have 5, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2020 | Spišská Nová Ves(away) | 3-1 | 3. liga - East |
| Sep 1, 2020 | Vranov nad Topľou(home) | 4-0 | 3. liga - East |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2020 | Vranov nad Topľou(home) | 1-1 | 3. liga - East |
| Sep 1, 2020 | Spišské Podhradie(home) | 1-0 | 3. liga - East |
| Aug 29, 2020 | Mladosť Kalša(away) | 3-8 | 3. liga - East |
| Aug 20, 2020 | Jasenov(away) | 2-1 | Cup |
| Aug 15, 2020 | Lipany(away) | 0-1 | 3. liga - East |
How many goals should we expect?
Humenné score 3.1 and concede 0.9 goals per match over their last 7; MSK Tesla Stropkov score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Humenné | 3.1 | 0.9 | 2 | 5/7 | 6/7 |
| MSK Tesla Stropkov | 1.9 | 1.3 | 4 | 4/9 | 3/9 |
Over the last 7 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 MSK Tesla Stropkov sit 3rd (44 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Humenné | 26 | 21 | 5 | 0 | 88 | 20 | 68 |
| 3 | MSK Tesla Stropkov | 26 | 13 | 5 | 8 | 48 | 37 | 44 |
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