Snina vs Spišská Nová Ves: result 0-1 and analysis
3. liga - EastEast - 11Kick-off on October 4, 2020 at 12:30 PM (UTC)Futbalový štadión Snina, Snina
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What was the result of Snina vs Spišská Nová Ves?
Spišská Nová Ves won 0-1 on October 4, 2020.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Snina have 3 wins, 1 draws and 6 defeats; Spišská Nová Ves have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2020 | Slávia TU Košice(away) | 1-2 | 3. liga - East |
| Sep 20, 2020 | Humenné(home) | 0-1 | 3. liga - East |
| Sep 12, 2020 | Vranov nad Topľou(away) | 2-3 | 3. liga - East |
| Sep 6, 2020 | Mladosť Kalša(home) | 1-2 | 3. liga - East |
| Aug 29, 2020 | Spišské Podhradie(away) | 2-3 | 3. liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2020 | MSK Tesla Stropkov(home) | 1-2 | 3. liga - East |
| Sep 19, 2020 | Tatran Prešov(home) | 0-2 | 3. liga - East |
| Sep 13, 2020 | Slávia TU Košice(away) | 1-2 | 3. liga - East |
| Sep 5, 2020 | Humenné(home) | 1-3 | 3. liga - East |
| Aug 29, 2020 | Vranov nad Topľou(home) | 0-2 | 3. liga - East |
How many goals should we expect?
Snina score 1.5 and concede 1.7 goals per match over their last 10; Spišská Nová Ves score 0.9 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Snina | 1.5 | 1.7 | 1 | 7/10 | 7/10 |
| Spišská Nová Ves | 0.9 | 2.5 | 0 | 8/15 | 9/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Snina sit 8th in 3. liga - East (31 points from 26 matches) and Spišská Nová Ves sit 2nd (65 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Spišská Nová Ves | 26 | 20 | 5 | 1 | 66 | 18 | 65 |
| 8 | Snina | 26 | 8 | 7 | 11 | 33 | 38 | 31 |
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