Diosgyori VTK vs Paks: result 1-2 and analysis
NB IRegular Season - 23Kick-off on April 7, 2012 at 04:00 PM (UTC)Diósgyőri Stadion, Miskolc
Full time
What was the result of Diosgyori VTK vs Paks?
Paks won 1-2 on April 7, 2012.
Goalscorers
- 30′László EgerPaks
- 48′A. HrepkaPaks
- 78′L'Imam SeydiDiosgyori VTK
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diosgyori VTK have 6 wins, 2 draws and 7 defeats; Paks have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2012 | Siofok(away) | 0-1 | NB I |
| Mar 24, 2012 | Ujpest(home) | 1-0 | NB I |
| Mar 17, 2012 | Pápa(away) | 2-1 | NB I |
| Mar 11, 2012 | Fehérvár FC(home) | 0-2 | NB I |
| Mar 4, 2012 | Kecskeméti TE(away) | 0-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2012 | Kaposvar(home) | 0-0 | NB I |
| Mar 25, 2012 | Gyori ETO FC(away) | 1-4 | NB I |
| Mar 17, 2012 | Siofok(away) | 0-2 | NB I |
| Mar 10, 2012 | Ujpest(home) | 2-0 | NB I |
| Mar 3, 2012 | Pápa(away) | 0-1 | NB I |
What does the head-to-head say?
Across the last 1 meetings: 0 Diosgyori VTK win(s), 1 draw(s), 0 Paks win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2011 | Paks 1-1 Diosgyori VTK | NB I |
Last archived meeting: Paks vs Diosgyori VTK on Sep 11, 2011
How many goals should we expect?
Diosgyori VTK score 1.4 and concede 1.6 goals per match over their last 15; Paks score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diosgyori VTK | 1.4 | 1.6 | 3 | 8/15 | 8/15 |
| Paks | 1.5 | 1.8 | 4 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Paks | 5 | 2 | 1 | 2 | 12 | 12 | 7 |
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