MTK Budapest vs Diosgyori VTK: result 2-0 and analysis
NB IRegular Season - 25Kick-off on April 27, 2013 at 12:00 PM (UTC)Hidegkuti Nándor Stadion, Budapest
Full time
What was the result of MTK Budapest vs Diosgyori VTK?
MTK Budapest won 2-0 on April 27, 2013.
Goalscorers
- 42′P. VassMTK Budapest
- 87′Á. BalajtiMTK Budapest
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTK Budapest have 7 wins, 3 draws and 5 defeats; Diosgyori VTK have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2013 | Siofok(away) | 1-2 | NB I |
| Apr 13, 2013 | Szombathelyi Haladas(home) | 0-1 | NB I |
| Apr 6, 2013 | Eger(away) | 3-0 | NB I |
| Mar 30, 2013 | Budapest Honved(home) | 1-0 | NB I |
| Mar 9, 2013 | Pápa(home) | 2-0 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2013 | Ferencvarosi TC(home) | 2-2 | NB I |
| Apr 16, 2013 | Siofok(away) | 0-3 | NB I |
| Apr 12, 2013 | Paks(away) | 0-1 | NB I |
| Apr 7, 2013 | Fehérvár FC(home) | 2-1 | NB I |
| Mar 31, 2013 | Gyori ETO FC(away) | 0-2 | NB I |
What does the head-to-head say?
Across the last 1 meetings: 0 MTK Budapest win(s), 0 draw(s), 1 Diosgyori VTK win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 5, 2012 | Diosgyori VTK 2-1 MTK Budapest | NB I |
Last archived meeting: Diosgyori VTK vs MTK Budapest on Oct 5, 2012
How many goals should we expect?
MTK Budapest score 1.5 and concede 1.1 goals per match over their last 15; Diosgyori VTK score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTK Budapest | 1.5 | 1.1 | 6 | 8/15 | 8/15 |
| Diosgyori VTK | 1.2 | 1.5 | 2 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | MTK Budapest | 5 | 2 | 2 | 1 | 11 | 8 | 8 |
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