Szeged 2011 vs Diosgyori VTK: result 2-1 and analysis
NB IIRegular Season - 11Kick-off on October 3, 2021 at 03:00 PM (UTC)Szent Gellért Fórum, Szeged
Full time
What was the result of Szeged 2011 vs Diosgyori VTK?
Szeged 2011 won 2-1 on October 3, 2021.
Goalscorers
- 23′R. KőváriSzeged 2011
- 25′K. HorváthSzeged 2011
- 56′C. SzatmáriDiosgyori VTK
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szeged 2011 have 9 wins, 2 draws and 4 defeats; Diosgyori VTK have 7, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2021 | Ajka(away) | 1-0 | NB II |
| Sep 26, 2021 | Soroksar(home) | 2-0 | NB II |
| Sep 18, 2021 | Kelen(away) | 4-0 | Magyar Kupa |
| Sep 15, 2021 | Budaörs(away) | 4-1 | NB II |
| Sep 12, 2021 | Szentlőrinc SE(home) | 0-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2021 | III. Kerületi TUE(home) | 1-1 | NB II |
| Sep 26, 2021 | Bekescsaba 1912(away) | 2-2 | NB II |
| Sep 18, 2021 | Szentlőrinc SE(home) | 2-1 | Magyar Kupa |
| Sep 15, 2021 | Nyiregyhaza(home) | 4-2 | NB II |
| Sep 12, 2021 | Gyori ETO FC(away) | 2-2 | NB II |
How many goals should we expect?
Szeged 2011 score 1.5 and concede 0.7 goals per match over their last 15; Diosgyori VTK score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szeged 2011 | 1.5 | 0.7 | 7 | 4/15 | 5/15 |
| Diosgyori VTK | 1.7 | 1.1 | 3 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Szeged 2011 sit 11th in NB II (4 points from 4 matches) and Diosgyori VTK sit 12th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Szeged 2011 | 4 | 1 | 1 | 2 | 3 | 4 | 4 |
| 12 | Diosgyori VTK | 4 | 1 | 1 | 2 | 5 | 11 | 4 |
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