Spartak Myjava vs Kalná nad Hronom: result 1-0 and analysis
3. liga - WestWest - 8Kick-off on September 26, 2020 at 04:00 PM (UTC)Futbalový štadión Spartak Myjava, Myjava
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What was the result of Spartak Myjava vs Kalná nad Hronom?
Spartak Myjava won 1-0 on September 26, 2020.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Spartak Myjava have 6 wins, 3 draws and 5 defeats; Kalná nad Hronom have 1, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2020 | Častkovce(away) | 2-1 | 3. liga - West |
| Sep 16, 2020 | AS Trencin(home) | 0-2 | Cup |
| Sep 12, 2020 | Galanta(home) | 1-0 | 3. liga - West |
| Sep 5, 2020 | Marcelová(away) | 1-2 | 3. liga - West |
| Aug 29, 2020 | Lednické Rovne(home) | 3-1 | 3. liga - West |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2020 | Malženice(home) | 2-5 | 3. liga - West |
| Sep 19, 2020 | Imeľ(home) | 0-0 | 3. liga - West |
| Sep 13, 2020 | Zl. Moravce-Vrablé II(away) | 0-2 | 3. liga - West |
| Sep 5, 2020 | Nitra II(home) | 2-2 | 3. liga - West |
| Aug 16, 2020 | Nové Zámky(away) | 2-0 | 3. liga - West |
How many goals should we expect?
Spartak Myjava score 1.6 and concede 1.3 goals per match over their last 14; Kalná nad Hronom score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Myjava | 1.6 | 1.3 | 5 | 8/14 | 9/14 |
| Kalná nad Hronom | 1.3 | 1.8 | 2 | 3/6 | 3/6 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Spartak Myjava | 32 | 11 | 11 | 10 | 48 | 38 | 44 |
A question about Spartak Myjava vs Kalná nad Hronom?
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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