Diosgyori VTK vs Birkirkara: result 2-1 and analysis
UEFA Europa League1st Qualifying RoundKick-off on July 3, 2014 at 06:30 PM (UTC)Nagyerdei Stadion, Debrecen
Full time
What was the result of Diosgyori VTK vs Birkirkara?
Diosgyori VTK won 2-1 on July 3, 2014.
Goalscorers
- 33′D. BarcziDiosgyori VTK
- 36′Matheus BissiBirkirkara
- 90′P. BacsaDiosgyori VTK
Official lineup for Diosgyori VTK vs Birkirkara
The starting elevens fielded at kick-off.
Diosgyori VTK
- 9P. Bacsa
- 19M. Grumić
- 18András Gosztonyi
- 20M. Nikházi
- 25Ákos Elek
- 31D. Barczi
- 3Senad Husić
- 4T. Kádár
- 5William Rocha Alves
- 7Dražen Okuka
- 22Ivan Radoš
Birkirkara
- 8T. Vella
- 4Gareth Sciberras
- 6P. Fenech
- 7R. Camenzuli
- 2Edward Herrera
- 3Matheus Bissi
- 15N. Vukanac
- 17Moreno
- 19J. Zerafa
- 22Z. Muscat
- 26Adrián Murcia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diosgyori VTK have 7 wins, 3 draws and 5 defeats; Birkirkara have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2014 | Fehérvár FC(away) | 1-1 | NB I |
| May 25, 2014 | Ujpest(away) | 2-2 | Magyar Kupa |
| May 17, 2014 | Pécsi MFC(home) | 3-0 | NB I |
| May 10, 2014 | Ferencvarosi TC(away) | 1-2 | NB I |
| May 7, 2014 | Debreceni VSC(home) | 2-0 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2013 | Maribor(away) | 0-2 | UEFA Champions League |
| Jul 16, 2013 | Maribor(home) | 0-0 | UEFA Champions League |
How many goals should we expect?
Diosgyori VTK score 1.5 and concede 1.4 goals per match over their last 15; Birkirkara score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diosgyori VTK | 1.5 | 1.4 | 5 | 8/15 | 9/15 |
| Birkirkara | 0.0 | 1.0 | 1 | 0/2 | 0/2 |
Over the last 15 matches in all competitions.
A question about Diosgyori VTK vs Birkirkara?
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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