Mladosť Kalša vs MSK Tesla Stropkov: result 8-3 and analysis
3. liga - EastEast - 6Kick-off on August 29, 2020 at 02:30 PM (UTC)Sport Club Mladosť Kalša, Kalša
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What was the result of Mladosť Kalša vs MSK Tesla Stropkov?
Mladosť Kalša won 8-3 on August 29, 2020.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Mladosť Kalša have 1 win, 1 draw and 4 defeats; MSK Tesla Stropkov have 4, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2020 | Spišská Nová Ves(away) | 1-1 | 3. liga - East |
| Aug 16, 2020 | Slávia TU Košice(home) | 1-2 | 3. liga - East |
| Aug 8, 2020 | Humenné(away) | 2-5 | 3. liga - East |
| Aug 5, 2020 | Vranov nad Topľou(home) | 0-1 | 3. liga - East |
| Aug 2, 2020 | Tatran Prešov(home) | 2-3 | 3. liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2020 | Jasenov(away) | 2-1 | Cup |
| Aug 15, 2020 | Lipany(away) | 0-1 | 3. liga - East |
| Aug 9, 2020 | Pokrok Krompachy(home) | 6-0 | 3. liga - East |
| Aug 5, 2020 | Svidník(away) | 1-1 | 3. liga - East |
| Aug 2, 2020 | Milénium(home) | 1-0 | 3. liga - East |
How many goals should we expect?
Mladosť Kalša score 1.5 and concede 2.0 goals per match over their last 6; MSK Tesla Stropkov score 2.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladosť Kalša | 1.5 | 2.0 | 1 | 4/6 | 4/6 |
| MSK Tesla Stropkov | 2.0 | 0.5 | 3 | 2/6 | 2/6 |
Over the last 6 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 Mladosť Kalša vs MSK Tesla Stropkov?
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