Skalica vs Tatran Prešov: result 1-1 and analysis
2. ligaRegular Season - 17Kick-off on November 9, 2018 at 04:00 PM (UTC)Mestský štadión, Skalica
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What was the result of Skalica vs Tatran Prešov?
Skalica and Tatran Prešov drew 1-1 on November 9, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skalica have 9 wins, 2 draws and 4 defeats; Tatran Prešov have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Dukla Banská Bystrica(away) | 1-3 | 2. liga |
| Oct 27, 2018 | Dubnica(away) | 0-4 | 2. liga |
| Oct 20, 2018 | Petržalka(home) | 2-0 | 2. liga |
| Oct 14, 2018 | Partizán Bardejov(away) | 0-0 | 2. liga |
| Oct 6, 2018 | Liptovský Mikuláš(home) | 2-1 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Lipany(away) | 0-1 | 2. liga |
| Oct 27, 2018 | Dukla Banská Bystrica(away) | 0-2 | 2. liga |
| Oct 20, 2018 | Dubnica(home) | 1-0 | 2. liga |
| Oct 14, 2018 | Petržalka(away) | 1-1 | 2. liga |
| Oct 6, 2018 | Partizán Bardejov(home) | 1-1 | 2. liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Skalica win(s), 1 draw(s), 0 Tatran Prešov win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 28, 2018 | Tatran Prešov 0-0 Skalica | 2. liga |
Last archived meeting: Tatran Prešov vs Skalica on Jul 28, 2018
How many goals should we expect?
Skalica score 1.7 and concede 0.9 goals per match over their last 15; Tatran Prešov score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skalica | 1.7 | 0.9 | 9 | 4/15 | 8/15 |
| Tatran Prešov | 1.3 | 1.1 | 3 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Tatran Prešov | 5 | 3 | 1 | 1 | 8 | 7 | 10 |
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