Diosgyori VTK vs Paks: result 0-0 and analysis
NB IRegular Season - 7Kick-off on September 1, 2018 at 05:30 PM (UTC)Diósgyőri Stadion, Miskolc
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What was the result of Diosgyori VTK vs Paks?
Diosgyori VTK and Paks drew 0-0 on September 1, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diosgyori VTK have 3 wins, 2 draws and 10 defeats; Paks have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2018 | Kisvarda FC(away) | 1-1 | NB I |
| Aug 18, 2018 | Szombathelyi Haladas(home) | 1-0 | NB I |
| Aug 11, 2018 | MTK Budapest(away) | 0-1 | NB I |
| Aug 4, 2018 | Debreceni VSC(away) | 0-2 | NB I |
| Jul 28, 2018 | Puskas Academy(home) | 2-2 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2018 | Puskas Academy(home) | 3-2 | NB I |
| Aug 18, 2018 | Ferencvarosi TC(away) | 1-1 | NB I |
| Aug 12, 2018 | Ujpest(home) | 1-1 | NB I |
| Aug 5, 2018 | Budapest Honved(away) | 0-1 | NB I |
| Jul 28, 2018 | Fehérvár FC(away) | 1-1 | NB I |
What does the head-to-head say?
Across the last 6 meetings: 3 Diosgyori VTK win(s), 0 draw(s), 3 Paks win(s).
| Date | Score | Competition |
|---|---|---|
| May 19, 2018 | Diosgyori VTK 1-0 Paks | NB I |
| Feb 24, 2018 | Paks 2-1 Diosgyori VTK | NB I |
| Sep 16, 2017 | Diosgyori VTK 2-4 Paks | NB I |
| Apr 22, 2017 | Paks 0-1 Diosgyori VTK | NB I |
| Nov 26, 2016 | Diosgyori VTK 2-0 Paks | NB I |
| Aug 17, 2016 | Paks 2-1 Diosgyori VTK | NB I |
Last archived meeting: Diosgyori VTK vs Paks on May 19, 2018
How many goals should we expect?
Diosgyori VTK score 0.7 and concede 1.6 goals per match over their last 15; Paks score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diosgyori VTK | 0.7 | 1.6 | 2 | 7/15 | 7/15 |
| Paks | 1.0 | 1.5 | 2 | 9/15 | 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