Pápa vs Diosgyori VTK: result 1-2 and analysis
NB IRegular Season - 20Kick-off on March 17, 2012 at 04:00 PM (UTC)Perutz-stadion, Pápa
Full time
What was the result of Pápa vs Diosgyori VTK?
Diosgyori VTK won 1-2 on March 17, 2012.
Goalscorers
- 27′Jose Juan Luque JimenezDiosgyori VTK (pen.)
- 76′Tibor TiszaDiosgyori VTK
- 89′G. LovrencsicsPápa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pápa have 3 wins, 3 draws and 9 defeats; Diosgyori VTK have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2012 | Kaposvar(away) | 0-2 | NB I |
| Mar 3, 2012 | Paks(home) | 1-0 | NB I |
| Nov 26, 2011 | Siofok(away) | 1-3 | NB I |
| Nov 18, 2011 | Ujpest(home) | 0-1 | NB I |
| Nov 4, 2011 | Gyori ETO FC(away) | 2-3 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2012 | Fehérvár FC(home) | 0-2 | NB I |
| Mar 4, 2012 | Kecskeméti TE(away) | 0-1 | NB I |
| Dec 3, 2011 | Gyori ETO FC(away) | 1-4 | Magyar Kupa |
| Nov 30, 2011 | Gyori ETO FC(home) | 1-1 | Magyar Kupa |
| Nov 27, 2011 | Ferencvarosi TC(home) | 2-3 | NB I |
What does the head-to-head say?
Across the last 1 meetings: 0 Pápa win(s), 0 draw(s), 1 Diosgyori VTK win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2011 | Diosgyori VTK 2-0 Pápa | NB I |
Last archived meeting: Diosgyori VTK vs Pápa on Aug 13, 2011
How many goals should we expect?
Pápa score 1.7 and concede 1.7 goals per match over their last 15; Diosgyori VTK score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pápa | 1.7 | 1.7 | 3 | 9/15 | 10/15 |
| Diosgyori VTK | 1.5 | 1.5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Diosgyori VTK | 33 | 6 | 10 | 17 | 39 | 65 | 28 |
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