Diosgyori VTK vs Paks: result 0-2 and analysis
NB IRegular Season - 33Kick-off on April 30, 2016 at 05:00 PM (UTC)Diósgyőri Stadion, Miskolc
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What was the result of Diosgyori VTK vs Paks?
Paks won 0-2 on April 30, 2016.
Goalscorers
- 45′L. BarthaPaks
- 90′Tamás KecskésPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diosgyori VTK have 6 wins, 3 draws and 6 defeats; Paks have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2016 | Debreceni VSC(away) | 1-3 | NB I |
| Apr 20, 2016 | Budapest Honved(home) | 1-2 | NB I |
| Apr 16, 2016 | Vasas(away) | 3-1 | NB I |
| Apr 9, 2016 | MTK Budapest(away) | 0-0 | NB I |
| Apr 6, 2016 | Puskas Academy(home) | 2-1 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2016 | Szombathelyi Haladas(home) | 2-3 | NB I |
| Apr 20, 2016 | Ujpest(away) | 1-1 | NB I |
| Apr 16, 2016 | Fehérvár FC(home) | 0-1 | NB I |
| Apr 12, 2016 | MTK Budapest(away) | 0-1 | NB I |
| Apr 9, 2016 | Debreceni VSC(home) | 0-1 | NB I |
What does the head-to-head say?
Across the last 6 meetings: 1 Diosgyori VTK win(s), 2 draw(s), 3 Paks win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 28, 2015 | Diosgyori VTK 1-1 Paks | NB I |
| Aug 22, 2015 | Paks 1-1 Diosgyori VTK | NB I |
| Apr 4, 2015 | Diosgyori VTK 1-2 Paks | NB I |
| Oct 22, 2014 | Paks 3-1 Diosgyori VTK | NB I |
| Apr 26, 2014 | Diosgyori VTK 0-4 Paks | NB I |
| Oct 19, 2013 | Paks 0-2 Diosgyori VTK | NB I |
Last archived meeting: Diosgyori VTK vs Paks on Nov 28, 2015
How many goals should we expect?
Diosgyori VTK score 1.3 and concede 1.1 goals per match over their last 15; Paks score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diosgyori VTK | 1.3 | 1.1 | 4 | 9/15 | 10/15 |
| Paks | 1.0 | 1.8 | 2 | 5/15 | 6/15 |
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