Tatabánya vs Ajka: result 1-2 and analysis
NB IIRegular Season - 8Kick-off on September 29, 2024 at 02:00 PM (UTC)Grosics Gyula Stadion, Tatabánya
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What was the result of Tatabánya vs Ajka?
Ajka won 1-2 on September 29, 2024.
Goalscorers
- 6′Á. SzarkaAjka
- 13′N. KovácsAjka
- 24′D. KiprichTatabánya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tatabánya have 6 wins, 2 draws and 7 defeats; Ajka have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2024 | Kozarmisleny FC(away) | 2-3 | NB II |
| Sep 14, 2024 | Testvériség(away) | 2-0 | Magyar Kupa |
| Sep 1, 2024 | Kazincbarcikai(home) | 0-7 | NB II |
| Aug 25, 2024 | Budafoki LC(home) | 1-2 | NB II |
| Aug 19, 2024 | Vasas(away) | 1-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2024 | Budafoki LC(home) | 2-2 | NB II |
| Sep 14, 2024 | Nagykanizsai ULE(away) | 3-2 | Magyar Kupa |
| Sep 6, 2024 | Komárno(away) | 1-1 | Friendlies Clubs |
| Sep 1, 2024 | Vasas(away) | 2-3 | NB II |
| Aug 25, 2024 | Kisvarda FC(home) | 3-2 | NB II |
What does the head-to-head say?
Across the last 6 meetings: 0 Tatabánya win(s), 1 draw(s), 5 Ajka win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 21, 2024 | Ajka 2-1 Tatabánya | Friendlies Clubs |
| May 10, 2014 | Tatabánya 2-3 Ajka | NB II |
| Nov 2, 2013 | Ajka 3-0 Tatabánya | NB II |
| Mar 3, 2013 | Tatabánya 1-3 Ajka | NB II |
| Aug 18, 2012 | Ajka 0-0 Tatabánya | NB II |
| Apr 7, 2012 | Ajka 1-0 Tatabánya | NB II |
How many goals should we expect?
Tatabánya score 1.2 and concede 1.6 goals per match over their last 15; Ajka score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tatabánya | 1.2 | 1.6 | 3 | 8/15 | 8/15 |
| Ajka | 1.7 | 1.6 | 1 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Ajka | 4 | 2 | 2 | 0 | 7 | 3 | 8 |
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