Paks vs Diosgyori VTK: result 1-0 and analysis
NB IRegular Season - 23Kick-off on April 12, 2013 at 05:00 PM (UTC)Paksi FC Stadion, Paks
Full time
What was the result of Paks vs Diosgyori VTK?
Paks won 1-0 on April 12, 2013.
Goalscorers
- 11′Attila TököliPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paks have 5 wins, 6 draws and 4 defeats; Diosgyori VTK have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2013 | Eger(away) | 2-2 | NB I |
| Apr 6, 2013 | Siofok(away) | 1-1 | NB I |
| Mar 30, 2013 | Szombathelyi Haladas(home) | 0-0 | NB I |
| Mar 8, 2013 | Budapest Honved(home) | 0-3 | NB I |
| Mar 2, 2013 | Ujpest(away) | 6-0 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2013 | Fehérvár FC(home) | 2-1 | NB I |
| Mar 31, 2013 | Gyori ETO FC(away) | 0-2 | NB I |
| Mar 9, 2013 | Szombathelyi Haladas(home) | 1-1 | NB I |
| Mar 1, 2013 | Eger(away) | 1-0 | NB I |
| Dec 1, 2012 | Budapest Honved(home) | 3-1 | NB I |
What does the head-to-head say?
Across the last 3 meetings: 1 Paks win(s), 1 draw(s), 1 Diosgyori VTK win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2012 | Diosgyori VTK 1-0 Paks | NB I |
| Apr 7, 2012 | Diosgyori VTK 1-2 Paks | NB I |
| Sep 11, 2011 | Paks 1-1 Diosgyori VTK | NB I |
Last archived meeting: Diosgyori VTK vs Paks on Sep 21, 2012
How many goals should we expect?
Paks score 1.5 and concede 1.3 goals per match over their last 15; Diosgyori VTK score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.5 | 1.3 | 5 | 8/15 | 9/15 |
| Diosgyori VTK | 1.2 | 1.3 | 2 | 9/15 | 7/15 |
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