Paks vs Diosgyori VTK: result 1-1 and analysis
NB IRegular Season - 6Kick-off on August 22, 2015 at 04:00 PM (UTC)Paksi FC Stadion, Paks
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What was the result of Paks vs Diosgyori VTK?
Paks and Diosgyori VTK drew 1-1 on August 22, 2015.
Goalscorers
- 47′J. HahnPaks
- 51′M. NikháziDiosgyori VTK
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paks have 8 wins, 3 draws and 4 defeats; Diosgyori VTK have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Szombathelyi Haladas(away) | 0-1 | NB I |
| Aug 12, 2015 | Maglódi TC(away) | 6-1 | Magyar Kupa |
| Aug 8, 2015 | Budapest Honved(home) | 3-1 | NB I |
| Aug 1, 2015 | Puskas Academy(away) | 0-1 | NB I |
| Jul 25, 2015 | Bekescsaba 1912(home) | 4-0 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Debreceni VSC(home) | 0-2 | NB I |
| Aug 12, 2015 | Csornai SE(away) | 2-0 | Magyar Kupa |
| Aug 8, 2015 | MTK Budapest(away) | 0-5 | NB I |
| Aug 1, 2015 | Fehérvár FC(home) | 1-2 | NB I |
| Jul 26, 2015 | Ferencvarosi TC(away) | 1-3 | NB I |
What does the head-to-head say?
Across the last 6 meetings: 4 Paks win(s), 0 draw(s), 2 Diosgyori VTK win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| Apr 12, 2013 | Paks 1-0 Diosgyori VTK | NB I |
| Sep 21, 2012 | Diosgyori VTK 1-0 Paks | NB I |
How many goals should we expect?
Paks score 1.7 and concede 0.7 goals per match over their last 15; Diosgyori VTK score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.7 | 0.7 | 6 | 5/15 | 6/15 |
| Diosgyori VTK | 1.2 | 1.6 | 3 | 9/15 | 10/15 |
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