Diosgyori VTK vs Litex: result 1-2 and analysis
UEFA Europa League2nd Qualifying RoundKick-off on July 24, 2014 at 06:30 PM (UTC)Diósgyőri Stadion, Miskolc
Full time
What was the result of Diosgyori VTK vs Litex?
Litex won 1-2 on July 24, 2014.
Goalscorers
- 38′András GosztonyiDiosgyori VTK (pen.)
- 80′D. MorenoLitex
- 85′W. JordánLitex (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diosgyori VTK have 8 wins, 3 draws and 4 defeats; Litex have 3, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 17, 2014 | Litex(away) | 2-0 | UEFA Europa League |
| Jul 10, 2014 | Birkirkara(away) | 4-1 | UEFA Europa League |
| Jul 3, 2014 | Birkirkara(home) | 2-1 | UEFA Europa League |
| Jun 1, 2014 | Fehérvár FC(away) | 1-1 | NB I |
| May 25, 2014 | Ujpest(away) | 2-2 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 17, 2014 | Diosgyori VTK(home) | 0-2 | UEFA Europa League |
| Jul 11, 2014 | Veris(home) | 3-0 | UEFA Europa League |
| Jul 3, 2014 | Veris(away) | 0-0 | UEFA Europa League |
| Aug 3, 2011 | Wisla Krakow(away) | 1-3 | UEFA Champions League |
| Jul 26, 2011 | Wisla Krakow(home) | 1-2 | UEFA Champions League |
What does the head-to-head say?
Across the last 1 meetings: 1 Diosgyori VTK win(s), 0 draw(s), 0 Litex win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 17, 2014 | Litex 0-2 Diosgyori VTK | UEFA Europa League |
Last archived meeting: Litex vs Diosgyori VTK on Jul 17, 2014
How many goals should we expect?
Diosgyori VTK score 1.7 and concede 1.3 goals per match over their last 15; Litex score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diosgyori VTK | 1.7 | 1.3 | 5 | 9/15 | 9/15 |
| Litex | 1.4 | 1.1 | 3 | 3/7 | 5/7 |
Over the last 15 matches in all competitions.
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