Tatabánya vs Ajka: result 1-3 and analysis
NB IIRegular Season - 16Kick-off on March 3, 2013 at 01:30 PM (UTC)Grosics Gyula Stadion, Tatabánya
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What was the result of Tatabánya vs Ajka?
Ajka won 1-3 on March 3, 2013.
Goalscorers
- 33′N. MajorAjka
- 39′Gábor SubiczAjka (pen.)
- 85′Djordje DjuricTatabánya
- 90′B. NagyAjka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tatabánya have 5 wins, 6 draws and 4 defeats; Ajka have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2012 | Soproni VSE(home) | 0-0 | NB II |
| Nov 18, 2012 | Gyirmot SE(away) | 2-2 | NB II |
| Nov 10, 2012 | Puskas Academy(home) | 1-3 | NB II |
| Nov 3, 2012 | Gyori ETO II(away) | 1-1 | NB II |
| Oct 27, 2012 | BKV Előre(home) | 0-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2012 | Gyirmot SE(home) | 2-2 | NB II |
| Nov 18, 2012 | Gyori ETO II(away) | 1-0 | NB II |
| Nov 11, 2012 | Paksi SE II(home) | 1-0 | NB II |
| Nov 4, 2012 | Szombathelyi Haladás II(away) | 2-0 | NB II |
| Oct 31, 2012 | Vasas(away) | 0-3 | Magyar Kupa |
What does the head-to-head say?
Across the last 3 meetings: 1 Tatabánya win(s), 1 draw(s), 1 Ajka win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2012 | Ajka 0-0 Tatabánya | NB II |
| Apr 7, 2012 | Ajka 1-0 Tatabánya | NB II |
| Oct 1, 2011 | Tatabánya 2-0 Ajka | NB II |
How many goals should we expect?
Tatabánya score 1.5 and concede 1.3 goals per match over their last 15; Ajka score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tatabánya | 1.5 | 1.3 | 5 | 10/15 | 9/15 |
| Ajka | 1.5 | 0.7 | 8 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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