Dubnica vs Tatran Prešov: result 2-1 and analysis
2. ligaRegular Season - 29Kick-off on May 18, 2019 at 03:00 PM (UTC)Mestský futbalový štadión Dubnica, Dubnica nad Váhom
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What was the result of Dubnica vs Tatran Prešov?
Dubnica won 2-1 on May 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dubnica have 7 wins, 4 draws and 4 defeats; Tatran Prešov have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Dukla Banská Bystrica(away) | 0-2 | 2. liga |
| May 4, 2019 | Lipany(home) | 2-1 | 2. liga |
| Apr 28, 2019 | Petržalka(home) | 4-1 | 2. liga |
| Apr 24, 2019 | Partizán Bardejov(away) | 1-2 | 2. liga |
| Apr 20, 2019 | Liptovský Mikuláš(home) | 3-2 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Petržalka(home) | 1-1 | 2. liga |
| May 4, 2019 | Partizán Bardejov(away) | 1-3 | 2. liga |
| Apr 27, 2019 | Liptovský Mikuláš(home) | 0-2 | 2. liga |
| Apr 24, 2019 | Slavoj Trebišov(away) | 0-2 | 2. liga |
| Apr 20, 2019 | Pohronie(home) | 0-1 | 2. liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Dubnica win(s), 0 draw(s), 1 Tatran Prešov win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2018 | Tatran Prešov 1-0 Dubnica | 2. liga |
Last archived meeting: Tatran Prešov vs Dubnica on Oct 20, 2018
How many goals should we expect?
Dubnica score 1.7 and concede 1.1 goals per match over their last 15; Tatran Prešov score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dubnica | 1.7 | 1.1 | 3 | 9/15 | 7/15 |
| Tatran Prešov | 0.6 | 1.3 | 4 | 5/15 | 3/15 |
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