MSK Tesla Stropkov vs Slávia TU Košice: result 1-3 and analysis
3. liga - EastEast - 9Kick-off on September 20, 2020 at 01:00 PM (UTC)Futbalový štadión MŠK TESLA Stropkov, Stropkov
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What was the result of MSK Tesla Stropkov vs Slávia TU Košice?
Slávia TU Košice won 1-3 on September 20, 2020.
What is the recent form of both teams?
Over their last 11 matches in all competitions, MSK Tesla Stropkov have 6 wins, 2 draws and 3 defeats; Slávia TU Košice have 7, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 1, 2020 | Spišské Podhradie(home) | 1-0 | 3. liga - East |
| Aug 29, 2020 | Mladosť Kalša(away) | 3-8 | 3. liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2020 | Lokomotíva Košice(away) | 2-1 | Cup |
| Sep 13, 2020 | Spišská Nová Ves(home) | 2-1 | 3. liga - East |
| Sep 6, 2020 | Tatran Prešov(home) | 2-2 | 3. liga - East |
| Aug 29, 2020 | Humenné(away) | 1-2 | 3. liga - East |
| Aug 23, 2020 | Vranov nad Topľou(home) | 3-0 | 3. liga - East |
How many goals should we expect?
MSK Tesla Stropkov score 2.2 and concede 1.5 goals per match over their last 11; Slávia TU Košice score 2.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSK Tesla Stropkov | 2.2 | 1.5 | 5 | 5/11 | 5/11 |
| Slávia TU Košice | 2.6 | 1.3 | 2 | 8/11 | 10/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | MSK Tesla Stropkov | 26 | 13 | 5 | 8 | 48 | 37 | 44 |
A question about MSK Tesla Stropkov vs Slávia TU Košice?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy