Spartak Myjava vs Púchov: result 0-1 and analysis
2. ligaRegular Season - 21Kick-off on March 17, 2023 at 06:00 PM (UTC)Futbalový štadión Spartak Myjava, Myjava
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What was the result of Spartak Myjava vs Púchov?
Púchov won 0-1 on March 17, 2023.
Goalscorers
- 90′Š. HolišPúchov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spartak Myjava have 8 wins, 2 draws and 5 defeats; Púchov have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2023 | Dubnica(away) | 2-2 | 2. liga |
| Mar 3, 2023 | Slavoj Trebišov(home) | 3-0 | 2. liga |
| Feb 26, 2023 | Žilina II(away) | 2-3 | 2. liga |
| Feb 18, 2023 | Sereď(home) | 4-1 | Friendlies Clubs |
| Jan 28, 2023 | Lednické Rovne(home) | 4-0 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2023 | Dolný Kubín(away) | 2-2 | 2. liga |
| Feb 25, 2023 | Dubnica(away) | 4-3 | 2. liga |
| Feb 18, 2023 | Častkovce(away) | 6-3 | Friendlies Clubs |
| Feb 11, 2023 | Třinec(away) | 3-3 | Friendlies Clubs |
| Feb 5, 2023 | Viktoria Otrokovice(away) | 1-0 | Friendlies Clubs |
What does the head-to-head say?
Across the last 1 meetings: 0 Spartak Myjava win(s), 0 draw(s), 1 Púchov win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2022 | Púchov 3-1 Spartak Myjava | 2. liga |
Last archived meeting: Púchov vs Spartak Myjava on Aug 20, 2022
How many goals should we expect?
Spartak Myjava score 2.2 and concede 1.8 goals per match over their last 15; Púchov score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Myjava | 2.2 | 1.8 | 3 | 10/15 | 12/15 |
| Púchov | 2.2 | 1.5 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Púchov | 30 | 6 | 11 | 13 | 33 | 50 | 29 |
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