Tiszakecske FC vs Diosgyori VTK: result 1-2 and analysis
NB IIRegular Season - 13Kick-off on October 24, 2021 at 11:00 AM (UTC)Városi Stadion, Tiszakécske
Full time
What was the result of Tiszakecske FC vs Diosgyori VTK?
Diosgyori VTK won 1-2 on October 24, 2021.
Goalscorers
- 3′Z. HorváthDiosgyori VTK (pen.)
- 79′G. MolnárDiosgyori VTK
- 88′R. CsákiTiszakecske FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tiszakecske FC have 1 wins, 2 draws and 12 defeats; Diosgyori VTK have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Ajka(away) | 1-5 | NB II |
| Oct 3, 2021 | Soroksar(home) | 2-3 | NB II |
| Sep 29, 2021 | Budaörs(away) | 0-3 | NB II |
| Sep 26, 2021 | Szentlőrinc SE(home) | 1-2 | NB II |
| Sep 18, 2021 | Ujpest(home) | 0-3 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Dorogi FC(home) | 2-0 | NB II |
| Oct 9, 2021 | Mezokovesd-zsory(home) | 1-4 | Friendlies Clubs |
| Oct 3, 2021 | Szeged 2011(away) | 1-2 | NB II |
| Sep 29, 2021 | III. Kerületi TUE(home) | 1-1 | NB II |
| Sep 26, 2021 | Bekescsaba 1912(away) | 2-2 | NB II |
How many goals should we expect?
Tiszakecske FC score 0.9 and concede 2.3 goals per match over their last 15; Diosgyori VTK score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tiszakecske FC | 0.9 | 2.3 | 1 | 10/15 | 11/15 |
| Diosgyori VTK | 1.6 | 1.3 | 3 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tiszakecske FC sit 5th in NB II (9 points from 5 matches) and Diosgyori VTK sit 12th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tiszakecske FC | 5 | 2 | 3 | 0 | 10 | 6 | 9 |
| 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