MSK Tesla Stropkov vs Snina: result 1-1 and analysis
3. liga - EastEast - 12Kick-off on October 11, 2020 at 12:30 PM (UTC)Futbalový štadión MŠK TESLA Stropkov, Stropkov
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What was the result of MSK Tesla Stropkov vs Snina?
MSK Tesla Stropkov and Snina drew 1-1 on October 11, 2020.
What is the recent form of both teams?
Over their last 13 matches in all competitions, MSK Tesla Stropkov have 7 wins, 2 draws and 4 defeats; Snina have 3, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2020 | Spišská Nová Ves(away) | 2-1 | 3. liga - East |
| Sep 20, 2020 | Slávia TU Košice(home) | 1-3 | 3. liga - East |
| Sep 16, 2020 | Pavlovce nad Uhom(away) | 6-0 | Cup |
| Sep 12, 2020 | Humenné(away) | 1-5 | 3. liga - East |
| Sep 6, 2020 | Vranov nad Topľou(home) | 1-1 | 3. liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2020 | Spišská Nová Ves(home) | 0-1 | 3. liga - East |
| 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 |
How many goals should we expect?
MSK Tesla Stropkov score 2.1 and concede 1.6 goals per match over their last 13; Snina score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSK Tesla Stropkov | 2.1 | 1.6 | 5 | 7/13 | 7/13 |
| Snina | 1.4 | 1.6 | 1 | 7/11 | 7/11 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
MSK Tesla Stropkov sit 3rd in 3. liga - East (44 points from 26 matches) and Snina sit 8th (31 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | MSK Tesla Stropkov | 26 | 13 | 5 | 8 | 48 | 37 | 44 |
| 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