Ajka vs Diosgyori VTK: result 0-0 and analysis
NB IIRegular Season - 37Kick-off on May 16, 2022 at 06:00 PM (UTC)Ajkai Városi Sportcentrum, Ajka
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What was the result of Ajka vs Diosgyori VTK?
Ajka and Diosgyori VTK drew 0-0 on May 16, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajka have 8 wins, 2 draws and 5 defeats; Diosgyori VTK have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2022 | Budafoki LC(home) | 2-0 | NB II |
| May 1, 2022 | Soroksar(away) | 3-1 | NB II |
| Apr 24, 2022 | Budaörs(home) | 2-1 | NB II |
| Apr 17, 2022 | Szentlőrinc SE(away) | 1-0 | NB II |
| Apr 10, 2022 | Szombathelyi Haladas(home) | 1-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2022 | Soroksar(home) | 1-0 | NB II |
| May 1, 2022 | Budaörs(away) | 1-2 | NB II |
| Apr 24, 2022 | Szentlőrinc SE(home) | 1-0 | NB II |
| Apr 18, 2022 | Szombathelyi Haladas(away) | 0-1 | NB II |
| Apr 10, 2022 | Tiszakecske FC(home) | 0-0 | NB II |
What does the head-to-head say?
Across the last 1 meetings: 0 Ajka win(s), 0 draw(s), 1 Diosgyori VTK win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 28, 2021 | Diosgyori VTK 2-0 Ajka | NB II |
Last archived meeting: Diosgyori VTK vs Ajka on Nov 28, 2021
How many goals should we expect?
Ajka score 1.4 and concede 1.2 goals per match over their last 15; Diosgyori VTK score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajka | 1.4 | 1.2 | 6 | 7/15 | 7/15 |
| Diosgyori VTK | 1.1 | 1.3 | 7 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ajka sit 6th in NB II (8 points from 4 matches) and Diosgyori VTK sit 12th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Ajka | 4 | 2 | 2 | 0 | 7 | 3 | 8 |
| 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