MSK Tesla Stropkov vs Rudňany: result 2-0 and analysis
3. liga - EastEast - 13Kick-off on October 17, 2021 at 12:00 PM (UTC)Futbalový štadión MŠK TESLA Stropkov, Stropkov
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What was the result of MSK Tesla Stropkov vs Rudňany?
MSK Tesla Stropkov won 2-0 on October 17, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MSK Tesla Stropkov have 9 wins, 3 draws and 3 defeats; Rudňany have 4, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Mladosť Kalša(away) | 2-3 | 3. liga - East |
| Oct 3, 2021 | Vranov nad Topľou(home) | 2-1 | 3. liga - East |
| Sep 26, 2021 | Slávia TU Košice(away) | 0-1 | 3. liga - East |
| Sep 19, 2021 | Tatran Prešov(home) | 3-1 | 3. liga - East |
| Sep 11, 2021 | Lipany(away) | 1-1 | 3. liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Pokrok Krompachy(home) | 5-1 | 3. liga - East |
| Oct 3, 2021 | Mladosť Kalša(away) | 2-3 | 3. liga - East |
| Sep 25, 2021 | Sobrance(home) | 3-2 | 3. liga - East |
| Sep 18, 2021 | Vranov nad Topľou(away) | 2-6 | 3. liga - East |
| Sep 11, 2021 | Slovan Giraltovce(home) | 0-1 | 3. liga - East |
How many goals should we expect?
MSK Tesla Stropkov score 2.3 and concede 0.9 goals per match over their last 15; Rudňany score 2.1 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSK Tesla Stropkov | 2.3 | 0.9 | 5 | 8/15 | 10/15 |
| Rudňany | 2.1 | 2.9 | 1 | 12/14 | 12/14 |
Over the last 15 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 Rudňany?
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