Diosgyori VTK vs Gyirmot SE: result 1-0 and analysis
NB IRegular Season - 19Kick-off on December 10, 2016 at 02:30 PM (UTC)Diósgyőri Stadion, Miskolc
Full time
What was the result of Diosgyori VTK vs Gyirmot SE?
Diosgyori VTK won 1-0 on December 10, 2016.
Goalscorers
- 16′Diego VelaDiosgyori VTK
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; Gyirmot SE 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 |
|---|---|---|---|
| Dec 3, 2016 | Vasas(away) | 0-3 | NB I |
| Nov 30, 2016 | Putnok VSE(away) | 4-1 | Magyar Kupa |
| Nov 26, 2016 | Paks(home) | 2-0 | NB I |
| Nov 19, 2016 | Szombathelyi Haladas(home) | 2-1 | NB I |
| Nov 5, 2016 | Budapest Honved(away) | 0-2 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2016 | Budapest Honved(home) | 0-4 | NB I |
| Nov 30, 2016 | Kecskeméti TE(away) | 2-0 | Magyar Kupa |
| Nov 26, 2016 | Ferencvarosi TC(away) | 0-2 | NB I |
| Nov 19, 2016 | Ujpest(home) | 1-2 | NB I |
| Nov 5, 2016 | Fehérvár FC(away) | 0-4 | NB I |
What does the head-to-head say?
Across the last 1 meetings: 0 Diosgyori VTK win(s), 0 draw(s), 1 Gyirmot SE win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | Gyirmot SE 1-0 Diosgyori VTK | NB I |
Last archived meeting: Gyirmot SE vs Diosgyori VTK on Sep 10, 2016
How many goals should we expect?
Diosgyori VTK score 1.5 and concede 1.5 goals per match over their last 15; Gyirmot SE score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diosgyori VTK | 1.5 | 1.5 | 3 | 8/15 | 7/15 |
| Gyirmot SE | 1.1 | 1.2 | 7 | 3/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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