Diosgyori VTK vs Dunaújváros-Pálhalma: result 3-3 and analysis
NB IRegular Season - 12Kick-off on October 25, 2014 at 04:00 PM (UTC)Diósgyőri Stadion, Miskolc
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What was the result of Diosgyori VTK vs Dunaújváros-Pálhalma?
Diosgyori VTK and Dunaújváros-Pálhalma drew 3-3 on October 25, 2014.
Goalscorers
- 16′Z. BöőrDunaújváros-Pálhalma (pen.)
- 24′M. NikháziDunaújváros-Pálhalma
- 25′Z. BöőrDunaújváros-Pálhalma
- 47′P. BacsaDiosgyori VTK
- 63′M. GrumićDiosgyori VTK
- 89′L. MarjanovićDiosgyori VTK
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diosgyori VTK have 8 wins, 3 draws and 4 defeats; Dunaújváros-Pálhalma have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2014 | Paks(away) | 1-3 | NB I |
| Oct 18, 2014 | Pápa(away) | 0-0 | NB I |
| Oct 4, 2014 | Ferencvarosi TC(home) | 2-1 | NB I |
| Sep 28, 2014 | Fehérvár FC(away) | 1-2 | NB I |
| Sep 24, 2014 | Sajóbábony Vegyész(away) | 4-1 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2014 | Szombathelyi Haladas(home) | 1-0 | NB I |
| Oct 4, 2014 | Ujpest(away) | 0-3 | NB I |
| Sep 27, 2014 | Puskas Academy(away) | 2-3 | NB I |
| Sep 20, 2014 | MTK Budapest(away) | 0-2 | NB I |
| Sep 13, 2014 | Nyiregyhaza(away) | 0-0 | NB I |
How many goals should we expect?
Diosgyori VTK score 1.9 and concede 1.3 goals per match over their last 15; Dunaújváros-Pálhalma score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diosgyori VTK | 1.9 | 1.3 | 4 | 10/15 | 12/15 |
| Dunaújváros-Pálhalma | 1.1 | 1.6 | 4 | 5/15 | 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