Dubnica vs Lokomotíva Košice: result 2-1 and analysis
2. ligaMatchday 2Kick-off on July 28, 2018 at 03:30 PM (UTC)Mestský futbalový štadión Dubnica, Dubnica nad Váhom
Full time
What was the result of Dubnica vs Lokomotíva Košice?
Dubnica won 2-1 on July 28, 2018.
Goalscorers
- 17′M. NečasDubnica
- 23′M. NečasDubnica
- 64′T. IlinjoLokomotíva Košice
Official lineup for Dubnica vs Lokomotíva Košice
The starting elevens fielded at kick-off.
Dubnica
- 20M. Vujošević
- 10R. Mikuš
- 13M. Jakúbek
- 16M. Čurik
- 22M. Nečas
- 3A. Zahranychnyy
- 19R. Častulín
- 21D. Švec
- 5L. Beňo
- 23R. Štefánek
- 31T. Digaňa
Lokomotíva Košice
- 23R. Jano
- 8D. Kolek
- 9L. Tóth
- 11K. Karaš
- 22Š. Harvila
- 4M. Grohoľ
- 13P. Zajac
- 2T. Ilinjo
- 12R. Cicman
- 14F. Pavúk
- 20M. Fabíni
What is the recent form of both teams?
In their last match in all competitions, Dubnica have 0 wins, 0 draws and 1 defeat; Lokomotíva Košice have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Poprad(away) | 1-2 | 2. liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2018 | Petržalka(home) | 1-2 | 2. liga |
| May 20, 2018 | Spišská Nová Ves(home) | 5-0 | 2. liga |
| May 13, 2018 | Pohronie(away) | 1-2 | 2. liga |
| May 5, 2018 | Liptovský Mikuláš(home) | 2-1 | 2. liga |
| May 2, 2018 | Nové Mesto nad Váhom(home) | 3-2 | 2. liga |
How many goals should we expect?
Dubnica score 1.0 and concede 2.0 goals per match in their last match; Lokomotíva Košice score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dubnica | 1.0 | 2.0 | 0 | 1/1 | 1/1 |
| Lokomotíva Košice | 1.5 | 1.6 | 3 | 8/15 | 11/15 |
Over the last match in all competitions.
A question about Dubnica vs Lokomotíva Košice?
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